Location: Kennedy, AL
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 is an employment niche focused on job opportunities within the science sector. It encompasses a diverse range of positions from research and development, lab work, to academic and corporate roles in various scientific disciplines like biology, chemistry, physics, and environmental science. The key feature of Science Jobs is its specialized nature, catering to individuals with a strong background in science and a passion for research and innovation. It provides a platform for employers to find highly-skilled professionals and for job-seekers to find roles that match their expertise. Science Jobs often requires candidates to have a specific set of qualifications, including advanced degrees and relevant experience, thus ensuring a highly qualified workforce driving scientific progress.
will be responsible to contribute with limited supervision to all aspects of assay development, technology transfer, and/or troubleshooting. The ideal candidate will have solid laboratory experience in the field of immunology and/or cell biology, a broad skill set encompassing working with primary immune cells to developing bioanalytical assays capable to meet clinical assay requirement.
The candidate should be current on state-of-the art technologies and is expected to champion evaluation of new technologies and optimize processes. Providing expert technical representation on multidisciplinary teams will be expected. Responsibilities Provide scientific input to the design and execution
of ligand binding assays (LBA) such as ELISA and/or cell-based assays such as luciferase reporter assays Responsible for the execution of method development, troubleshooting and/or pre-clinical/clinical sample analysis as needed Contribute to the backssment and implementation of new analytical technologies Serve as an internal subject matter expert on developed assays Accountability for generated the data Work Experience Education Minimum Requirement: Ph D in Biological Sciences or related area with 0-3 years, or a MS degree with 4+ years, or a BS degree with 7+ years Required Skills: Critical thinking and good trouble-shooting skills Experience in general cell biology methods including maintenance
of cell lines and/or primary cells Experience with immunoassays such as ELISA, Alpha Lisa, multiplexed LBA on MSD and/or Luminex platforms Adherence to basic safety procedures in a BSL2 laboratory Good verbal and written communication Ability to follow procedures and thoroughly document experiments Communicate results effectively in presentations to stakeholders in partner organizations or at external scientific meetings, to write technical reports, and to participate on cross-functional teams Preferred Experience and Skills: Experience with cell-based assays in the context of immune response characterization such as viral neutralization, PRNT/VRNT/FRNT, ELISpot, or multi-color flow cytometry Prior experience with PBMC isolation, human and/or mouse tumor tissue processing Experience in molecular biology technique such as DNA and RNA isolation, q PCR, digital PCR, RNAseq, NGS, or CRISPR Familiarity with liquid handlers and other automation platforms for sample preparation and assay process Strong attention to detail with the ability to multi-task and handle multiple responsibilities simultaneously #PCDBio Analytical Requisition ID: P-100545PDN-9908367e-af45-44b8-bab7-c08c0a508d70
customers achieve their objectives. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring many talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.
Discover what our 30,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health #Syneos Health Life means we're committed to our Total Self-culture - where everyone can authentically be themselves. Our Total Self-culture is what unites us globally, and we know every person's unique contributions
make a difference. We believe our success is a direct result of the people who are driving it - you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you.
That's why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. JOB SUMMARY Within Technology and Intelligent Solutions our strength is the efficiency with
which we deliver leading-edge products and support to those we serve.
We're proud to set the standard for success in our industry. The Senior Data Scientist supports our business goals by providing timely delivery of high-quality data science solutions and innovative products. JOB RESPONSIBILITIES Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse " big data" sources to generate actionable insights and solutions for client services and product enhancement. Interact with product and service teams to identify questions and issues for data analysis and experiments. Create, document, and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets.
Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Assist team in identifying meaningful insights from large data and metadata sources, interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers. Have broad expertise or innovative knowledge, use skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Manage configuration, curation, and cataloging of internal and external tech and data resources and 'always-on' data vendors to ensure timely product delivery and innovation. Mentor and coach junior team members across the business. Qualifications QUALIFICATION REQUIREMENTS Master's or Ph. D. degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a related quantitative field. Experience in developing and implementing simulation and optimization models and algorithms to address real-world challenges is preferred.
Strong proficiency in programming languages such as Python, with experience in simulation libraries (e. g. Sim Py) and optimization libraries or solvers (e. g. Gurobi, Pu LP). Solid understanding of mathematical optimization techniques, including linear programming, integer programming, mixed-integer programming, and other relevant optimization techniques. Familiarity with other optimization techniques (e. g. quadratic programming, dynamic programming, evolutionary algorithms) and machine learning techniques is a plus.
Proficiency in working with large datasets, data preprocessing techniques, statistical analysis, and Monte Carlo simulation. Excellent problem-solving and critical-thinking abilities, with a track record of developing innovative solutions for complex problems. Strong communication skills to effectively convey complex simulation and optimization concepts, results, and insights to both technical and non-technical stakeholders. Experience working with cross-functional teams, managing multiple projects simultaneously, and delivering results within deadlines.
Familiarity with cloud platforms (e. g. Azure), distributed computing, and big data technologies is desirable. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time.
Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. The annual base salary for this position ranges from $102,600 to $178,600. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.
Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities.
Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees.
The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. #LI-MS5PDN-9983dca2-ae84-425385a6b5ab
company's Center for Data Science and Artificial Intelligence (CDSAi) corporate analytics group, applies analytical skills to work on all aspects of the life insurance value chain, ranging from risk models, fraud detection, customer behavior study, process triaging, and marketing prediction to a variety of other analytics solutions.
Applies technical data, analytical, and programming skills to ingest, wrangle, and explore external and internal data to create data assets and reports. Functions as the data expert and prepares data for modeling, supports production deployment of models, and builds world-class machine-learning models to solve tangible business problems. Contributes to data
analysis and modeling projects from project and sample design, business review meetings with internal and external clients to determine requirements and deliverables, and the receipt and processing of data.
Performs analyses and modeling for final reports and presentations, communicates results, implements support, and demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, including strategic consulting, needs backssments, project scoping, and preparing and presenting analytical proposals. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and
creative analyses to address business objectives and client needs.
Tests new statistical and machine-learning analysis methods, software, and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with internal Technology and Operation teams. Education & Experience Requirements: Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain. Or, in the alternative: Bachelor's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and five (5) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain.
Required Skills: Experience must include 2 years of experience in each of the following skills: (1) Programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources; (2) Performing data wrangling and matching leveraging Extract Load Transfer (ETL) techniques; (3) Performing parallel computing, distributed computing, and distributed data processing leveraging large-scale data on Hadoop and Spark system; (4) Performing feature engineering and selection (transformation, binning, and high-level categorical reduction); model optimization (grid search and Bayesian optimization); and, model testing and validation (cross validation and bootstrapping); and, (5) Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means; and performing regularization leveraging Ridge, Lasso, and elastic nets.
Eligible for Employee Referral Program Overtime eligible: Exempt Discretionary bonus eligible: No Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. PDN-99a40489-458d-406c-9bf0-cd8b39d9c9bb
