Job Description
About This Role
The Clinical Genetics team sits within the Genomic Medicine group in Translational Medicine at Biogen. Clinical Genetics team members are embedded within and provide support to Biogen's exploratory, pre-clinical, and clinical pipeline programs, particularly those addressing rare, Mendelian disorders or genetically-defined subsets of common, complex diseases.
We seek a highly collaborative statistical geneticist or genetic epidemiologist with strong communication skills to join Biogen's Clinical Genetics team as a Scientist. The Scientist will provide genetics, genomics, and analytical support across the R&D organization, leveraging genomic and phenotypic data from internal and external sources including population-scale human cohorts, disease-specific cohorts, pre-competitive consortia, biobanks, real world data sources, natural history studies, and internal clinical trials.
The Scientist will be deeply involved in one or more therapeutic areas, providing human genetics expertise to help identify, validate, and prioritize novel drug targets, to further our understanding of targets and indications of interest, and to advance pipeline programs. They will partner with therapeutic area scientists, clinical and biomarker researchers, and operational teams to identify the most promising opportunities for genetics to make a difference to the success or failure of emerging and approved therapeutics. The successful candidate will have a track record of handling and interpreting large and complex genomic and phenotypic datasets generated as part of clinical trials or in research or diagnostic settings.
What You'll Do
In this role, you will use internal and external data sources to derive scientific insights and support data-driven decision-making across R&D. You will work independently and within cross-disciplinary teams to design and execute analytical strategies leveraging genomic and phenotypic data to address critical questions in Biogen's therapeutic areas of interest. In this role, you will:
- Be the genetics lead on one or more exploratory, pre-clinical and/or clinical pipeline program(s)
- Apply statistical and data visualization approaches to glean and convey insights from complex data
- Keep abreast of, and apply, state-of-the-art methods in statistical genetics
- Perform GWAS, pheWAS, rare variant analysis, polygenic risk score analysis, and other methods to deepen our understanding of genes and indications of interest
- Apply post-GWAS approaches (e.g., fine mapping, colocalization, Mendelian randomization) to dissect genomic loci associated with disease risk and/or progression
- Consult with therapeutic area experts and program leads to identify critical questions that can be addressed through analysis of clinical trial and internal experimental data; design and execute analytical strategies to address such questions
- Identify and explore other internal and external data sources to replicate, inform, and/or enrich exploratory findings
- Collaborate with pipeline program teams to inform Go/No Go decisions
- Communicate findings to technical and non-technical audiences
- Lead and contribute to the design, drafting, and publication of scientific manuscripts
- Present your work at scientific conferences and meetings with collaborators
Qualifications
Who You Are
You are a statistical geneticist or genetic epidemiologist with an interest in applying your skills to drug discovery for common, complex disease.
Required Skills
- PhD in human genetics, statistical genetics, genetic epidemiology, or related field with 0-2 years of experience
- Postdoctoral experience preferred
- Strong foundation in statistics and statistical genetics
- Facility with standard programming languages and tools for genomic and clinical data analysis (e.g., Python, R, plink, etc.)
- Experience analyzing genomic data along with phenotypic data such as fluid or imaging biomarkers, disease-specific clinical rating scale assessments, digital measures, response to treatment, etc.
- Familiarity with analytical approaches for longitudinal data analysis, time to event analysis, and measures of disease progression
- In-depth working knowledge of analysis of WES, WGS, and array data
- Effective teamwork and communication skills
Preferred Skills
- Experience working with additional data types, including RNA-seq, metabolomic and proteomic data
- Cloud computing expertise
- Strong publication record
Additional Information
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
