Sr Data Scientist, Computational Geneticist, Integrated Data Science, DHBL

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

G2D2 is home to Eisai's Human Genetics team. Members of this team have the opportunity to perform foundational data science research that impacts Eisai's entire discovery and development portfolio across Eisai's worldwide discovery and clinical sites in the US, the UK, and Japan. The Computational Geneticist will be a key member of the Human Genetics team and will have specific responsibilities for accessing and analyzing array-based and next-generation sequencing DNA data from large population-based and clinical cohorts. They will be responsible for integrating these data with other molecular data, including next-generation RNA sequencing, large-scale proteomics, and epigenomics data, and to derive deep insights from these multimodal data to drive project and portfolio decision-making. In addition, they will provide and implement recommendations for novel advanced analytic approaches to improve experimental design and inform decision making using genomic data. While the focus is expected to be on impacting the discovery process, this position will also serve as a subject matter expert for advanced analytics using genetics and other molecular datatypes, providing expert scientific guidance to additionally impact translational science and clinical development.

The Computational Geneticist will join an existing (and evolving) human genetics group at G2D2 and will encounter a corporate culture that is very motivated to apply human genetics and advanced analytical approaches to R&D at every level of the organization.

This role is hybrid with a minimum of three days a week in our Cambridge, MA office (Tuesday, Wednesday, Thursday).

Responsibilities include:

• Lead development and execution of computational plans in line with defined research problem statements within discovery and contribute to the human genetics team's effort to apply human genetics to impact program and portfolio decision-making across Eisai's global R&D sites, including target identification, target validation, biomarker discovery, and patient stratification strategies.
• Oversee internal data pipelines and resources for computational analyses in collaboration with internal/external teams
• Present analyses/results to relevant stakeholders in comprehensible and readily actionable formats
• Report scientific results in patents, publications, regulatory documents, and product-development reports as applicable
• Actively contribute in project teams, panels, technological platforms, and meetings; collaborate with other groups
• Work with the human genetics team to identify, initiate, and execute collaborations with academic, biotech, and other pharma partners leveraging machine learning and AI approaches to produce insights capable of impacting program and portfolio decision-making
• Interpret, integrate, adapt and present complex scientific findings to make recommendations for critical project decisions
• Scout emerging research and technology landscape related to own area to identify relevant new approaches/technologies, particularly in the areas of machine learning and AI, and present case for adoption within Eisai.
• Train and mentor teams on emerging scientific aspects and research processes/technologies

Qualifications:

• Academic/PhD in computational or related life-science field with 3 plus years of post-doctoral experience in relevant technical field (industry or academia)
• Experience with programming languages (e.g. Java, Python, R); relational or other databases (e.g. Oracle, PostgreSQL, NoSQL); tools and databases (e.g. PLINK, coloc, ENCODE, ENSEMBL, etc); cloud services for storage and computing; commercial and public biological databases; high-density data types and relevant external resources
• Strong publication record in high-quality journals, references, and external presentations demonstrating relevant experience Proven performance in earlier role/comparable role
• Experience mentoring others in team
• Excellent oral and written communication skills and the ability to function as a productive member of cross-disciplinary teams is required.
• Excellent organizational and management skills are required.
• The ability to thrive in a flexible, goal-oriented environment is required.

Eisai Salary Transparency Language:

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

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