Job Description

The Precision Genetics group within the Data, AI and Genome Sciences (DAGS) Department is recruiting a Sr. Principal Scientist, Computational Biology lead for Cardiometabolic Discovery Research. We are seeking an experienced computational biologist with a proven track-record in applying human genetics to generate target/biomarker hypotheses and patient stratification strategies.

You will lead a team of bioinformaticians and data scientists to apply cutting edge AIML approaches to leverage our Company's investments in human genetics and other multimodal data to support drug discovery in the cardiometabolic disease space. Your work will inform discovery, translational medicine, companion diagnostics and clinical research.

You will serve as a strategic partner to our discovery colleagues in Cardiometabolic Discovery Research. You will also assume a hands-on leadership role, implementing rigorous data analysis practices, aligning resources based on scientific priorities, and mentoring and developing team members. You will operate in a highly collaborative environment, partnering with peers across multiple locations and in the broader scientific community.

In this exciting role, you will:

• Manage, mentor and hire outstanding team members responsible for creating an end-to-end computational biology strategy and support discovery programs in Cardiometabolic diseases.

• Create the strategy and process for evaluating therapeutic targets and precision biomarkers from the perspective of genetics, causal disease biology drawing upon a combination of public and proprietary resources.

• Collaborate with scientists and clinicians to create the data science strategy for Cardiometabolic disease targets in discovery, being innovative and foreseeing the path to clinical trial.

• Leverage scRNASeq to contextualize target gene expression in the context of cell-types, disease biology and cardiac phenotypes.

• Evaluate opportunities across potential indications using diverse data sources

• Stay up to date on the application of AIML to cardiometabolic drug discovery strategy to prioritize target portfolio based on biological insights

• Proactively identify biomarker discovery strategies to support discovery program and generate patient stratification strategies using cutting edge AI/ML methods.

• Communicate complex AI/ML strategies and insights derived from biological data to stakeholders via compelling visualization using state-of-the-art best practice.

• Identify appropriate public data sources to facilitate and augment AI/ML model building.

• Tackle complex projects, anticipate, and overcome challenges, and forecast timelines for deliverables to support pipeline objectives.

• Supervise the work of junior colleagues when appropriate.

• Collaborate with experimental scientists in a matrixed environment to develop research plans, optimize resource allocation, and maximize efficiencies to best execute on programs.

• Clearly communicate results to project teams, our company's scientific community, and the external scientific community through internal documents, presentations, and publications in leading journals

Required Experience and Skills:

• Ph.D. plus a minimum of 10 years of combined research experience in academia/pharma

• A solid track record of 8+ years leading high-performance computational teams and developing top data science talent

• Hands-on experience in integrating data from genetics, proteomics, single-cell transcriptomics and high-dimensional molecular data to derive insights into causal disease mechanism

• Ability to code in R/Python and establish best practices for reproducible data analyses

• Strong ability to work and influence in complex matrixed organizations

• Excellent oral and written communication skills

• Ability to establish and maintain productive cross-site and high caliber external collaborations

Preferred Experience and Skills:

• Experience is establishing academic and consortia partnerships

• Familiarity with animal models of cardiometabolic diseases

• Familiarity with CRISPR approaches for target validation

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

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Requisition ID:R313879