Science Jobs refer to employment opportunities within the various fields of science, ranging from entry-level positions to advanced research and academic roles. Key features of these jobs often include conducting experiments, data analysis, problem-solving, and innovation in sectors like biology, chemistry, physics, and environmental science. Science Jobs demand a strong educational background and typically offer the potential for contributing to technological advancements and understanding of the natural world. These positions are pivotal in driving scientific progress and can be found in laboratories, universities, and industry settings.
Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.
Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
Science Jobs refer to a broad category of careers focused on the pursuit of scientific research, practical applications of scientific knowledge, and the advancement of technology. These roles are typically found in sectors such as healthcare, engineering, environmental science, and pharmaceuticals. Key characteristics of Science Jobs include a strong emphasis on problem-solving, analytical skills, and a solid foundation in scientific principles. Individuals in these positions often engage in data analysis, experimentation, and innovation to contribute to scientific understanding and development. The field is dynamic and constantly evolving, offering a diverse range of opportunities for specialization and advancement.
Science jobs refer to employment opportunities within the fields of science, encompassing a wide range of disciplines such as chemistry, physics, biology, and environmental science, among others. These jobs are characterized by their focus on research, data analysis, and application of the scientific method to investigate natural phenomena or to develop new technologies. Individuals in science jobs often work in laboratories, universities, research institutions, or within the private sector. They are crucial for the advancement of knowledge, innovation, and the practical application of scientific discoveries to improve various aspects of life and solve complex problems.
Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
DUTIES Lead molecular diagnostic assay development in a hands-on manner through successful FDA submission Manage and contribute to regulatory documents Project management; personnel management skills preferred Design assay performance specifications Ensure assay development process meets milestones and timelines Troubleshoot and solve technical issues Maintain compliant laboratory documents and procedures Pro-actively improve efficiency, quality and effectiveness of R & D efforts QUALIFICATIONS Ph D in Nucleic Acids Biochemistry, Molecular Biology, or related field Minimum of 7 years of relevant industry experience and IVD assay development In depth knowledge and hands on experience with q PCR,
sequencing and standard molecular biology techniques Demonstrated technical, managerial and leadership expertise in assay development Strong understanding of FDA and global regulatory requirements Demonstrated experience and understanding of quality systems (e.
g. GLP, ISO, etc. ) Prefer experience working in BSL-2 laboratory facilities Strong work ethic and ability to generate high quality work under tight deadlines Flexibility in work schedule Self-motivated, independent and a driving force of efficient execution Strong organizational and project management skills Excellent oral and written communication skills Job Posted by Applicant Pro
Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a motivated scientist to join our team working on Spatial Omics, RNASeq and digital Biomarker datasets, and Machine Learning applied to the analysis of biomedical
data. The ideal candidate should have a background and interest in data science, artificial intelligence, bioinformatics, biomedical engineering, or computational biology.
As a computational Scientist, you will have the opportunity to work on two assignments based in two separate locations: first year in Cambridge (USA) and the second year in Frankfurt (Germany). Main responsibilities as Computational Scientist: Perform biomedical image analysis Conduct genomics data analysis Conduct single cell RNASeq analysis Develop scalable analysis pipelines Implement machine learning models for solving biomedical problems Collaborate with other team members on various research projects Work with
large-scale datasets and employ machine learning techniques to solve complex problems About you : Strong knowledge of Python Familiarity with R is a plus Solid statistical and mathematical knowledge Understanding of methods in bioinformatics/computational biology Excellent analytical and problem-solving skills Ability to work independently as well as in a team environment Strong written and verbal communication skills Advanced English level Prior experience with biomedical data analysis is a plus but not required Molecular biology knowledge is a plus but not required Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations.
Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.
Digitalents Graduate Program - Computational Scientist At Sanofi, we advance the process from discovery to therapy with the power of digital. We don't settle for less, and we hope you don't either. Digitalents is your opportunity to make a real impact on the transformation of our business and people's lives across the globe. Why Digitalents? Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a motivated scientist to join our team working on Spatial Omics, RNASeq and digital Biomarker datasets, and Machine Learning applied to the analysis of biomedical data. The ideal candidate should have a background and interest in data science, artificial intelligence, bioinformatics, biomedical engineering, or computational biology.
As a computational Scientist, you will have the opportunity to work on two assignments based in two separate locations: first year in Cambridge (USA) and the second year in Frankfurt (Germany). Main responsibilities as Computational Scientist: Perform biomedical image analysis Conduct genomics data analysis Conduct single cell RNASeq analysis Develop scalable analysis pipelines Implement machine learning models for solving biomedical problems Collaborate with other team members on various research projects Work with large-scale datasets and employ machine learning techniques to solve complex problems About you : Strong knowledge of Python Familiarity with R is a plus Solid statistical and mathematical knowledge Understanding of methods in bioinformatics/computational biology Excellent analytical and problem-solving skills Ability to work independently as well as in a team environment Strong written and verbal communication skills Advanced English level Prior experience with biomedical data analysis is a plus but not required Molecular biology knowledge is a plus but not required Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations. Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9aede302-642e-4693-98eb-e7f6c6013615
This position is laboratory-based and will include designing and executing experiments to identify and confirm potential therapeutic targets as well as working effectively with internal and external collaborators to advance ongoing exploratory and portfolio projects.
The successful candidate will have a Ph. D. in biological sciences or significant post-graduate experience in an industry setting. A passion for drug discovery and expertise in cellular and molecular biology, protein biochemistry, and other approaches to identify and validate targets and pathways is highly desired. Key Accountabilities: Establish and execute in vitro cell culture assays to explore cell signaling in the context
of MS/ALS/PD and other neurodegenerative diseases. Design and execute in vivo experiments in preclinical models of neurodegenerative disease with the ability to generate downstream ex vivo readouts.
Experience with ELISA, western blot, q PCR, and immunocytochemistry Organize experimental results, analyze data, thoroughly document results, and clearly communicate outcomes to project leads and teams. Interact in a matrixed, dynamic and cross-functional manner across the Neuroscience Therapeutic Area, Research Platforms, and various external labs. QUALIFICATIONS, COMPETENCIES & CHARACTERISTICS Bachelor's Degree plus minimum 8 years of relevant research experience in an academic or biomedical
setting OR Master's Degree plus minimum 5 years of relevant research experience in an academic or biomedical setting OR Ph D plus minimum 3 years of relevant research experience in an academic or biomedical setting.
Expertise in glial biology, neuroimmune interactions, and pathophysiology of neurodegenerative diseases such as MS, ALS, and PD is highly desired. Excellent analytical, presentation and writing skills. Ability to work collaboratively on matrixed, cross-functional teams and to identify and execute key steps necessary to advance projects in a time- and resource-sparing fashion. Sanofi Inc. and its U. S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; interaction, gender, gender identity or expression; affectional or interactionual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
#GD-SA#LI-SAAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. Scientist/Senior Scientist, Neuroimmunology Lab Rare and Neuroscience Therapeutic Area Sanofi, Inc.350 Water Street, Cambridge, MA 01701 POSITION We are looking for a highly qualified and motivated scientist to join the Neuroimmunology Cluster, focused on discovering, validating and developing therapies for rare neurologic and neurodegenerative diseases.
This position is laboratory-based and will include designing and executing experiments to identify and confirm potential therapeutic targets as well as working effectively with internal and external collaborators to advance ongoing exploratory and portfolio projects. The successful candidate will have a Ph. D. in biological sciences or significant post-graduate experience in an industry setting.
A passion for drug discovery and expertise in cellular and molecular biology, protein biochemistry, and other approaches to identify and validate targets and pathways is highly desired. Key Accountabilities: Establish and execute in vitro cell culture assays to explore cell signaling in the context of MS/ALS/PD and other neurodegenerative diseases. Design and execute in vivo experiments in preclinical models of neurodegenerative disease with the ability to generate downstream ex vivo readouts. Experience with ELISA, western blot, q PCR, and immunocytochemistry Organize experimental results, analyze data, thoroughly document results, and clearly communicate outcomes to project leads and teams.
Interact in a matrixed, dynamic and cross-functional manner across the Neuroscience Therapeutic Area, Research Platforms, and various external labs. QUALIFICATIONS, COMPETENCIES & CHARACTERISTICS Bachelor's Degree plus minimum 8 years of relevant research experience in an academic or biomedical setting OR Master's Degree plus minimum 5 years of relevant research experience in an academic or biomedical setting OR Ph D plus minimum 3 years of relevant research experience in an academic or biomedical setting.
Expertise in glial biology, neuroimmune interactions, and pathophysiology of neurodegenerative diseases such as MS, ALS, and PD is highly desired. Excellent analytical, presentation and writing skills. Ability to work collaboratively on matrixed, cross-functional teams and to identify and execute key steps necessary to advance projects in a time- and resource-sparing fashion. Sanofi Inc. and its U. S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; interaction, gender, gender identity or expression; affectional or interactionual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA#LI-SAAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9ae1d212-c4b8-4998-ab05-748098047a33
on us to keep working tirelessly to make that future a reality for patients everywhere, by fighting sickness with science, improving access with ingenuity, and healing hopelessness with heart. We focus on areas of medicine where we can make the biggest difference: Cardiovascular & Metabolism, Immunology, Infectious Diseases & Vaccines, Neuroscience, Oncology, and Pulmonary Arterial Hypertension.
Visit us: As a member of the In Vivo Antibody Discovery Group, this role will be responsible for developing methods for the recovery of antibody V-genes from selected hybridoma cells or single B-cells using next generation sequencing (NGS) approaches. In-depth knowledge and extensive experience
with BCR cloning using various methods including RT-PCR, Topo cloning, in-fusion cloning, multiplex NGS, and 10X Genomics are required. A strong understanding of B-cell recovery methods such as Hybridoma technology and primary B-cell sorting will also be important.
This is a critical function in a multifaceted Biologics Discovery organization committed to bringing the next generation of biotherapeutic molecules to patients. We are looking for a motivated candidate with scientific and technical expertise who can collaborate across discovery areas to bring value to our portfolio of innovative drug concepts. Proficiency to work within a highly coordinated, fast-paced environment will be
a significant attribute. An additional knowledge base in the areas of oncology, immunology, infectious disease, or cardiovascular disease would be a plus.
If this sounds like you, come join our team! Responsibilities : • Antibody sequence recovery from selected hybridoma cells or B cells using NGS or 10X genomics • NGS library preparation and sequencing and sequence analysis • Antibody expression vector construction and DNA scale up for expression • Small-scale (1 ml) antibody expression and purification • Antibody characterization with Octet, ELISA, MSD and flow cytometry • Regular presentation of data in team meeting, effective communication and coordination of work in highly matrixed project team environment Requirements • Bachelor degree or Master degree in molecular biology, biochemistry, biophysics, immunology • At least 2 years of relevant experience in the field of antibody discovery • Working knowledge on antibody discovery using different approaches including hybridoma, B cell sorting Preferred • Hands-on experience in molecular cloning including V-gene primer design, in-fusion cloning, multiplex NGS, 10x Genomics • In-depth understanding of antibody sequence analysis including germline analysis and CDR clustering and immune repertoire analysis and familiar with computation tools needed for antibody discovery workflow • Antibody expression and purification • Antibody characterization with Octet, ELISA, MSD and flow cytometry • Hands-on experience on primary immune cell isolation from immunized animals • Animal handling experience including immunization, blood collection and tissue collection For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.
careers.. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability Eligible for benefits to include medical, dental, vision and time off as well as any others as provided for in the applicable Collective Bargaining Agreement For additional general information on company benefits, please go to: - www.
careers. /employee-benefits
can count on us to keep working tirelessly to make that future a reality for patients everywhere, by fighting sickness with science, improving access with ingenuity, and healing hopelessness with heart. We focus on areas of medicine where we can make the biggest difference: Cardiovascular & Metabolism, Immunology, Infectious Diseases & Vaccines, Neuroscience, Oncology, and Pulmonary Arterial Hypertension.
Visit us: As a member of the In Vivo Antibody Discovery Group, you will be responsible for development and optimization of efficient antibody discovery platforms. As part of platform development effort, you will lead and drive the analysis of antibody repertoire from immunized animals
and from enriched CHO libraries. Responsibilities • Contribute to development and evaluation of emerging technologies and platforms for antibody discovery through repertoire analysis from immunized animals or CHO display library • Lead antibody generation using CHO display platform to screen immune repertoire • CHO display library preparation with targeted integration using CRISPR/Cas9 or RMCE • Regular presentation of data in team meeting, effective communication and coordination of work in highly matrixed project team environment • This will involve designing and implementing NGS experiments to generate sequence data to characterize the antibody repertoire at different stages of antibody discovery.
• In addition to your primary responsibilities related to repertoire analysis with NGS, you may also be involved in mouse genetic engineering to improve antibody discovery efficiency.
• This may involve techniques such as CRISPR/Cas9 gene editing to introduce specific mutations or modifications to the mouse genome. • A strong understanding of B-cell isolation methods such as Hybridoma technology and primary B-cell sorting will also be important. • This is a critical function in a multifaceted Biologics Discovery organization committed to bringing the next generation of biotherapeutic molecules to patients. • We are looking for a motivated candidate with scientific and technical expertise who can collaborate across discovery areas to bring value to our portfolio of innovative drug concepts.
• Proficiency to lead within a highly coordinated, fast-paced environment will be a significant attribute. • An additional knowledge base in the areas of oncology, immunology, infectious disease, or cardiovascular disease would be a plus. If this sounds like you, come join our team! Requirements • Ph D in Immunology, Molecular Biology, or related field • Experience in antibody discovery Preferred • Expertise in antibody repertoire analysis • Experience in cell line engineering with CRISPR technology • Strong background in mouse genetics and genetic engineering techniques • Expertise on any of different antibody discovery platforms including hybridoma, single B cell sorting, in vitro display et al.
• Project Management experience For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www. careers.. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability Eligible for benefits to include medical, dental, vision and time off as well as any others as provided for in the applicable Collective Bargaining Agreement.
For additional general information on company benefits, please go to: - www. careers. /employee-benefits
Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients' daily life, wherever they live and enable them to enjoy a healthier life.
As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best medical companies in the world and is pioneering the application of Artificial Intelligence (AI) in the R&D organization including drug discovery, chemical
manufacturing and control, translational research, clinical development, and regulatory document management and submission. Details of the organization and the company's mission and goals can be found on our website (www.
sanofi. us/en/). Overview: Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug discovery and shorten drug development and identification of patients for clinical trials thereby creating better medicines that save lives. AI and Deep Analytics (AIDA) is a critical group in Digital and Data Science (DDS) organization at Sanofi focused on applications of AI/ML and Deep Learning (DL) in drug design, diseases modeling, drug development,
and analysis of outcomes of clinical trials with multimodal data.
Our existing research and development areas include Biologics and Molecular Drug Design; Natural Language Processing (NLP) applied to document intelligence, summarization, knowledge extraction, generation of automated reports, semantic search, question answering, machine translation and knowledge graphs; Deep Learning-based Imaging applied to histological images of cancer tissues and bioimaging-based diseases modeling using high-resolution microscopy; Bioinformatics applied to single-cell sequences, multi-omics data, and real word data (RWD); digital signal processing (DSP) and machine learning applied to digital health and patient-generated data from wearables during digital clinical trials.
Scientists in our team come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, and algorithmic analysis of data. We are looking for a Data Scientist with a strong background in deep learning and its applications modeling and analysis of unstructured text and documents in our AI and Deep Analytics (AIDA) group at Sanofi R&D. The responsibilities of the data scientist in AI and Deep Analytics will include: Applying AI/ML for modeling and embedding of data plus performing tasks such as classification, summarization, clustering, prediction, generation, relationship discovery, and causal inference.
Close interactions with data engineers, subject matter experts (SMEs), and business stakeholders Update and report relevant results to interdisciplinary project teams and stakeholders Maintain a keen awareness of recent developments in data science and cloud computing infrastructures and state-of-the-art of AI/ML/DL algorithms and research results Active engagement in evaluation and coordination of both academic and startup collaborations Qualifications & Requirements: A Ph D degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with an emphasis on machine learning and deep learning Preferable experience of 1-3 year(s) for Ph.
D or mandatory experience of 7-10 years for MS with a strong record of accomplishments and project experience in applications of AI, ML, NLP & LLM'interactionpertise in Deep Learning architectures including CNNs, RNNs, GNN's, and Reinforcement Learning. Familiarity with atleast one LLM like Claude 2, GPT4 or Llama2, related prompt patterns like RAG and the ecosystem including langchain, agents, vector databases (Pinecone, Milvus).
Familiarity with Knowledge Graphs, Causal reasoning, Neo4j & Elastic Search Familiarity with Data Visualization tools/libraries and dimensionality reduction algorithms Proficient in Python, SQL, and No SQL databaseinteractionpertise in atleast one deep learning libraries such as , Keras, Tensor Flow The ability to work with APIs and multi-GPU machines on the cloud A change agent with a combination of business, science & technology, and diplomatic skills At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities. Sanofi Inc. and its U. S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; interaction, gender, gender identity or expression; affectional or interactionual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
#GD-SA #LI-SAPDNAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. Job Title: Data Scientist Reports To: Director, AI and Machine Learning Department: Digital & Data Sciences, R&D Location: Cambridge, MA (USA) About the Company: Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care.
From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients' daily life, wherever they live and enable them to enjoy a healthier life.
As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best medical companies in the world and is pioneering the application of Artificial Intelligence (AI) in the R&D organization including drug discovery, chemical manufacturing and control, translational research, clinical development, and regulatory document management and submission. Details of the organization and the company's mission and goals can be found on our website (www. sanofi. us/en/).
Overview: Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug discovery and shorten drug development and identification of patients for clinical trials thereby creating better medicines that save lives. AI and Deep Analytics (AIDA) is a critical group in Digital and Data Science (DDS) organization at Sanofi focused on applications of AI/ML and Deep Learning (DL) in drug design, diseases modeling, drug development, and analysis of outcomes of clinical trials with multimodal data. Our existing research and development areas include Biologics and Molecular Drug Design; Natural Language Processing (NLP) applied to document intelligence, summarization, knowledge extraction, generation of automated reports, semantic search, question answering, machine translation and knowledge graphs; Deep Learning-based Imaging applied to histological images of cancer tissues and bioimaging-based diseases modeling using high-resolution microscopy; Bioinformatics applied to single-cell sequences, multi-omics data, and real word data (RWD); digital signal processing (DSP) and machine learning applied to digital health and patient-generated data from wearables during digital clinical trials.
Scientists in our team come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, and algorithmic analysis of data. We are looking for a Data Scientist with a strong background in deep learning and its applications modeling and analysis of unstructured text and documents in our AI and Deep Analytics (AIDA) group at Sanofi R&D. The responsibilities of the data scientist in AI and Deep Analytics will include: Applying AI/ML for modeling and embedding of data plus performing tasks such as classification, summarization, clustering, prediction, generation, relationship discovery, and causal inference.
Close interactions with data engineers, subject matter experts (SMEs), and business stakeholders Update and report relevant results to interdisciplinary project teams and stakeholders Maintain a keen awareness of recent developments in data science and cloud computing infrastructures and state-of-the-art of AI/ML/DL algorithms and research results Active engagement in evaluation and coordination of both academic and startup collaborations Qualifications & Requirements: A Ph D degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with an emphasis on machine learning and deep learning Preferable experience of 1-3 year(s) for Ph.
D or mandatory experience of 7-10 years for MS with a strong record of accomplishments and project experience in applications of AI, ML, NLP & LLM'interactionpertise in Deep Learning architectures including CNNs, RNNs, GNN's, and Reinforcement Learning. Familiarity with atleast one LLM like Claude 2, GPT4 or Llama2, related prompt patterns like RAG and the ecosystem including langchain, agents, vector databases (Pinecone, Milvus).
Familiarity with Knowledge Graphs, Causal reasoning, Neo4j & Elastic Search Familiarity with Data Visualization tools/libraries and dimensionality reduction algorithms Proficient in Python, SQL, and No SQL databaseinteractionpertise in atleast one deep learning libraries such as , Keras, Tensor Flow The ability to work with APIs and multi-GPU machines on the cloud A change agent with a combination of business, science & technology, and diplomatic skills At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities. Sanofi Inc. and its U. S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; interaction, gender, gender identity or expression; affectional or interactionual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SAPDNAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9ad7c243-ece0-45a9-a1b6-aadf835b73d1
Immunology & Inflammation, and Rare Neuroscience; and(2) developing new and cutting-edge technologies to advance the discovery and lead optimization of antibodies contributing to our First-in-Class, Best-in-Class portfolio.
The successful candidate will be seen as a highly experienced scientific leader with deep expertise in the antibody field, pushing the boundaries of science of antibody biology and biologics drug discovery.
This includes active and strategic identification of opportunities for smart antibody and biologics therapeutics for complex disease biology, and on the technology front, establishing next-generation methods involving microfluidics, NGS, machine learning
and AI. The candidate will lead his/her research teams and collaborate across all therapeutic areas at Sanofi, as well as all Research Platforms (e. g. Nanobody Research Platforms, DMPK, Translational Sciences, etc.
). Develop strategic vision, provide scientific leadership and technical guidance to build a robust biotherapeutics portfolio; including guidance on discovery campaign screening strategies, triaging across discovery platforms, setting criteria for molecule progression, and management of external/internal partners and workflows. Continually look at opportunities to improve the efficiency and success of discovery workflows; develop new technologies and platforms to stay at the
cutting edge, incorporate new technologies and support integration of new technical innovations across the global teams.
Manage the operations of the group to ensure quality, prioritization, resources and timelines across programs. Oversee continuous modernization of lab infrastructure, including establishment of streamlined lab and data workflows, and supporting data management objectives. Support the further development of computational expertise within the team and workflows. Lead and mentor a team of highly motivated and gifted scientists. Offer scientific leadership and guidance cross-functionally, especially with the Therapeutic Areas, the interplay between understanding the biology of the disease and the molecule platforms.
Assist business development in backssing in and out-licensing opportunities. Contribute to patent filings and publications and present research finding to various audiences; Identify opportunities for growth of the group and department into new areas to foster efficiency. Present findings in different forums with clarity and line of sight. Basic qualifications: Ph. D. and postdoctoral work in Biochemistry, Immunology, Molecular & Cell Biology or similar field with 10+ years experience leading high performing multidisciplinary biologics drug discovery teaminteractiontensive experience working with all major antibody in vitro and in vivo discovery and optimization platforms Significant experience in bispecific and multi-specific antibody programs Recognized scientific leader in the field with consistent publications in top-tier journals, presentations at key scientific conferences A strong people leader with a track record of developing talent Exceptional communication skills for navigating and seeking opportunities within our internal and external network Should have an innovative mindset and ready to step out of the box for creating and exploring new ideas.
Risk taker. Engaged and passionate about work with a zeal to take ownership and accountability Preferred qualifications: Background in Immunology, Oncology/Immuno-oncology Experience with SBC sorting and 10x Genomics discovery workflows Early or advanced work in computational discovery utilizing NGS and machine learning, computational library design, and/or use of in silico prediction methods Sound understanding of data-mining, machine learning and AIExperience in alternative scaffolds Sanofi Inc. and its U. S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; interaction, gender, gender identity or expression; affectional or interactionual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
#GD-SA #LI-SAAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. Description Job description: The Biologics Research US organization is seeking a Head of Antibody Discovery to lead a large research group (>20 scientists) focused on two key activities: (1) the generation of novel antibody drugs using in vitro and in vivo antibody generation platforms delivering into and enriching a competitive pipeline in Oncology, Immunology & Inflammation, and Rare Neuroscience; and(2) developing new and cutting-edge technologies to advance the discovery and lead optimization of antibodies contributing to our First-in-Class, Best-in-Class portfolio.
The successful candidate will be seen as a highly experienced scientific leader with deep expertise in the antibody field, pushing the boundaries of science of antibody biology and biologics drug discovery.
This includes active and strategic identification of opportunities for smart antibody and biologics therapeutics for complex disease biology, and on the technology front, establishing next-generation methods involving microfluidics, NGS, machine learning and AI. The candidate will lead his/her research teams and collaborate across all therapeutic areas at Sanofi, as well as all Research Platforms (e. g. Nanobody Research Platforms, DMPK, Translational Sciences, etc. ). Develop strategic vision, provide scientific leadership and technical guidance to build a robust biotherapeutics portfolio; including guidance on discovery campaign screening strategies, triaging across discovery platforms, setting criteria for molecule progression, and management of external/internal partners and workflows.
Continually look at opportunities to improve the efficiency and success of discovery workflows; develop new technologies and platforms to stay at the cutting edge, incorporate new technologies and support integration of new technical innovations across the global teams. Manage the operations of the group to ensure quality, prioritization, resources and timelines across programs.
Oversee continuous modernization of lab infrastructure, including establishment of streamlined lab and data workflows, and supporting data management objectives. Support the further development of computational expertise within the team and workflows. Lead and mentor a team of highly motivated and gifted scientists. Offer scientific leadership and guidance cross-functionally, especially with the Therapeutic Areas, the interplay between understanding the biology of the disease and the molecule platforms. Assist business development in backssing in and out-licensing opportunities.
Contribute to patent filings and publications and present research finding to various audiences; Identify opportunities for growth of the group and department into new areas to foster efficiency. Present findings in different forums with clarity and line of sight. Basic qualifications: Ph. D. and postdoctoral work in Biochemistry, Immunology, Molecular & Cell Biology or similar field with 10+ years experience leading high performing multidisciplinary biologics drug discovery teaminteractiontensive experience working with all major antibody in vitro and in vivo discovery and optimization platforms Significant experience in bispecific and multi-specific antibody programs Recognized scientific leader in the field with consistent publications in top-tier journals, presentations at key scientific conferences A strong people leader with a track record of developing talent Exceptional communication skills for navigating and seeking opportunities within our internal and external network Should have an innovative mindset and ready to step out of the box for creating and exploring new ideas.
Risk taker. Engaged and passionate about work with a zeal to take ownership and accountability Preferred qualifications: Background in Immunology, Oncology/Immuno-oncology Experience with SBC sorting and 10x Genomics discovery workflows Early or advanced work in computational discovery utilizing NGS and machine learning, computational library design, and/or use of in silico prediction methods Sound understanding of data-mining, machine learning and AIExperience in alternative scaffolds Sanofi Inc.
and its U. S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; interaction, gender, gender identity or expression; affectional or interactionual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
#GD-SA #LI-SAAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9ad5bf42-3d99-4aaf-9e6a-6eecef7ec28b
We are seeking a highly motivated and collaborative scientist to join our immunology team to profile our therapeutics modalities and their interactions with tumor cells and the immune system. Your key responsibilities are, but not limited to: • Develop and independently execute immunological, cellular and biochemical assays needed to backss and optimize CAR-T cells and immune cell engager functionality • Conducting ex vivo cell-based assays using T cells and other primary cells from human peripheral blood and tissues to study functional interactions between CAR-T or immune cell engagers, tumor and immune cells• Critically analyze and interpret data, able to prioritize experiments and design follow-up
experiments • Work collaboratively with team members of the Mechanistic Immunology groups and with other collaborators at BRC, Oncology and Discovery Science departments • Regularly communicate and present results to lab head and project teams, prepare protocols and reports • Open mindset, ability and eagerness to learn novel techniques or analysis tools based on project needs• Maintain familiarity with scientific and technical literature pertinent to the projects Role Requirements Essential Requirements: • BSc or MSc in Life Science disciplines, preferably immunology or cell biology/biochemistry with at least 2 years research experience in human immunology, cell biology or biochemistry in industry
or academia or recent Ph.
D. graduate in immunology or cancer cell biology fields.
• Solid knowledge and interest in human immunology and cell biology/biochemistry. • Experience with primary cell culture, human T cell or other immune cells including phenotyping and multicellular functional assays and protein biochemistry • Demonstrated ability to develop new assays, critically analyze data, learn and combine new techniques and concepts quickly, design experiments and perform exploratory activities • Scientific curiosity, initiative, commitment, flexibility and good organization and presentation skills • Work independently and as a team member with open communication with the groups and collaborators Desirable Requirements: • Experience in virology or cell and gene therapy is a plus but not mandatory.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? /about/strategy/people-and-culture Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally: /careers/benefits-rewards Commitment to Diversity & Inclusion: The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment.
We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, interactionual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Novartis Compensation and Benefit Summary: The pay range for this position at commencement of employment is expected to be between $102,400 and $153,600/year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities.
The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an " at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: talentnetwork. /network EEO Statement We are Equal Opportunity Employers and take pride in maintaining a diverse environment.
We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, interactionual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please let us know the nature of your request, your contact information and the job requisition number in your message: Novartis: e-mail xyz X@ or call -xyz X Sandoz: e-mail xyz X@ or call: -xyz X
Science Jobs refers to a category of employment that specializes in the field of science, encompassing a diverse range of professions including researchers, laboratory technicians, science educators, and many others engaged in scientific disciplines. These jobs are characterized by their focus on inquiry, exploration, and the application of scientific methods to understand the natural world. They often require a strong educational background in science, critical thinking, problem-solving skills, and sometimes, experience with specialized equipment or software. In today's world, Science Jobs are crucial for innovation, technological advancement, and addressing complex challenges in healthcare, environment, and industry.
