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:
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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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, generally Tuesday, Wednesday and either Monday or 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. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected US salary range:
$184,800.00 - $290,900.00
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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Employee Status:
Regular
Relocation:
Domestic/International
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
10/28/2024
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