Associate Director, Computational Biology (Cardiometabolic Drug Discovery Data Science)

Job Description

The Precision Genetics group within the Data, AI and Genome Sciences (DAGS) Department is recruiting an Associate Director, Computational Biology in Cardiometabolic Drug Discovery Data Sciences. 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. This role will apply cutting edge AI/ML approaches to leverage our Company’s investments in human genetics and other multimodal data to support drug discovery in the cardiometabolic disease space. The Associate Director will inform discovery, translational medicine, companion diagnostics and clinical research and partner with discovery colleagues in Cardiometabolic Discovery Research to perform analyses to initiate new projects as well as support ongoing discover projects.  This role will implement rigorous data analysis practices, aligning resources based on scientific priorities, and mentoring and developing team members. In addition, the Associate Director is able to work in a highly collaborative environment, partnering with peers across multiple locations and in the broader scientific community.

 

In this exciting role, you will:

• Collaborate with scientists and clinicians to design and implement bespoke data analyses to support/initiate projects in Cardiometabolic drug discovery
• 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

 

Qualifications:

Education:

• Ph.D. in computational biology or related field and a minimum of six (6) years of combined research experience in academia/pharma

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:

• Familiarity with animal models of cardiometabolic diseases
• Familiarity with CRISPR approaches for target validation

#EligibleforERP 

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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, 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.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 salary range for this role is

$172,700.00 - $271,900.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits.  Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

Domestic/International

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

No

Required Skills:

Biomarkers, Cardiometabolic, Computational Biology, Data Analysis, Data Science, Diabetes Research, Drug Discovery Process, Heart Failure Treatment, Machine Learning, Obesity, Patient Stratification, Proteomics, Python for Data Analysis, Transcriptomics

Preferred Skills:

Job Posting End Date:

07/31/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.