Location: Boston, MA
Company: Point32health
and expertise to help people find their version of healthier living through a broad range of health plans and tools that make navigating health and wellbeing easier. We enjoy the important work we do every day in service to our members, partners, colleagues and communities.
To learn more about who we are at Point32Health, click here. Job Summary Harvard Pilgrim Heath Care Institute is seeking a qualified and motivated Research Fellow to join the Division of Therapeutics Research and Infectious Disease Epidemiology (TIDE) for a post-doctoral position dedicated to building and optimizing artificial intelligence (AI) tools to support precision medicine for infectious diseases. The Research
Fellow will perform research under the guidance of Dr. Sanjat Kanjilal, MD, MPH, Assistant Professor of Population Medicine, and other faculty members and research scientists.
The Fellow will have the opportunity to lead and participate in a wide range of research studies related to the use of AI in infectious diseases, including the development of machine-learning decision support tools for antimicrobial stewardship, causal inference using observational data, investigations of algorithmic fairness, and optimization of the human-AI interface. Projects have a diverse range of funding that includes the AHRQ, CDC, and other federally and industry-funded projects. These projects leverage
multiple real-world data (RWD) sources, including administrative claims databases and electronic health record (EHR) databases.
Specific projects will be determined based on the Fellow's background and interests. Additionally, the Fellow will have an opportunity to participate in other activities, including grant preparation activities (e. g. writing research plans, supporting budget preparation, and submitting IRB applications) and journal review and editorial activities. The Fellow will receive one-on-one, team, and peer mentoring. The Fellow will have dedicated workspace, computing resources, access to biostatistics support as needed, and to libraries and other resources of Harvard University.
The Fellow may also attend selected advanced methods training courses and seminars at schools within and outside of Harvard University. Key Responsibilities/Duties - what you will be doing Lead or participate in research projects, including those related to the use of artificial intelligence in infectious diseases. Prepare proposals for obtaining research funding & Sponsored Program Applications including compiling documentary material for human studies review. Participate in the development of research protocols, surveillance plans, and analysis plans.
Prepare manuscripts detailing research findings and submits to peer-reviewed journals. Participate in the development of new analytic and data-sharing methods. Present research findings within and outside of the department. Work closely with DPM faculty mentor to monitor progress and resolve issues that arise during the course of the research. Other duties and projects as assigned. Qualifications - what you need to perform the job Doctoral degree, such as an MD, Ph D, or Sc D, or in final stage of doctoral program in machine learning, bioinformatics, or related field. Advanced knowledge of machine learning algorithms for prediction and inference strongly preferred.
Advanced knowledge of epidemiologic methods and biostatistics a plus. Ability to learn techniques for analyzing complex electronic healthcare data. Familiarity with using claims and/or EHR databases preferred. Familiarity with statistical software and programming languages, such as R, Python, SAS and Julia. Strong written and interpersonal communication skills. Ability to work independently, manage time effectively, meet project deadlines, and work within budgets. Must be able to work under normal office conditions and work from home as required.
Work may require simultaneous use of a telephone/headset and PC/keyboard and sitting for extended durations. May be required to work additional hours beyond standard work schedule. Commitment to Diversity, Equity, Inclusion, Accessibility (DEIA) and Health Equity Point32Health is committed to making diversity, equity, inclusion, accessibility and health equity part of everything we do-from product design to the workforce driving that innovation. Our Diversity, Equity, Inclusion, Accessibility (DEIA) and Health Equity team's strategy is deeply connected to our core values and will evolve as the changing nature of work shifts.
Programming, events, and an inclusion infrastructure play a role in how we spread cultural awareness, train people leaders on engaging with their teams and provide parameters on how to recruit and retain talented and dynamic talent. We welcome all applicants and qualified individuals, who will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, interactionual orientation, national origin, genetics, disability, age, or veteran status. PDN-9ad3531f-977e-471e-80fc-babeabcbbcbe
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Other Jobs is a term often used to describe employment positions that do not fall into the traditional categories of work or are alternative forms of employment. These jobs can vary widely and may include freelance gigs, odd jobs, temporary roles, or any unconventional job position. The key characteristics of Other Jobs include flexibility, diversity of tasks, and potentially irregular working hours. They may not require a specific set of skills or a long-term commitment and often provide individuals with unique opportunities to gain experience in various fields.
Other Jobs refers to employment opportunities that don't fall within the commonly known categories, showcasing the diversity of the workforce and the variety of skills individuals offer. These roles often require unique skill sets or qualifications, catering to niche markets or specialized tasks. They can range from unconventional roles in creative industries to specific positions in technology or science fields. The defining feature of Other Jobs is their departure from traditional job titles, offering flexibility, creativity, and sometimes the chance for individuals to turn unconventional talents into professional endeavors.
