Senior Principal Scientist, Computational Biology

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 and 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 programs 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 practices. 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 mechanisms. 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 in establishing academic and consortia partnerships. Familiarity with animal models of cardiometabolic diseases. Familiarity with CRISPR approaches for target validation. US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.Expected US salary range: $184,800.00 - $290,900.00Available 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.#J-18808-Ljbffr

Created: 2025-02-01