In this exciting role, you will:

• Manage, mentor and hire outstanding team members responsible for creating bespoke target discovery and precision medicine strategies across therapeutic areas
• Design and implement a cloud-scale discovery engine based on human genetics data which can be adapted quickly to understand disease mechanism, patient sub-populations and discover novel drug targets
• Conduct fit-for-purpose GWAS/RVAS from Biobank scale data (UKBB, FinnGen and others) and meta analyze summary statistics
• Perform post-GWAS analysis (Fine mapping, colocalization, functional enrichment, Mendelian Randomization, TWAS, PrediXcan, LDSC, V2G etc.)
• Integrate GWAS with RNA-seq, ATAC-seq, ChIP-seq, QTLs etc. to generate multiple layers of evidence to prioritize candidate targets and understand disease mechanism.
• Be at the cutting edge of emerging methods in statistical genetics
• Tackle complex projects, anticipate, and overcome challenges, and forecast timelines for deliverables to support pipeline objectives
• Collaborate with wet-lab biologists and disease area experts to validate disease mechanisms and patient sub-populations
• Communicate results to project teams, our company's scientific community, and the external scientific community through internal documents, presentations, and publications in leading journals
• Coding experience in R and/or Python and other statistical genetics software

Required Experience and Skills:

• Ph.D. in statistical genetics, genetic epidemiology, or related field, plus a minimum of 10 years post-PhD research experience
• A solid track record of 5+ years leading high-performing statistical genetics teams.
• Strong foundational knowledge of statistical/population genetics (GWAS, QTL mapping, heritability estimation, etc.)
• Demonstrated experience applying post-GWAS analyses to understand disease mechanisms (fine mapping, colocalization, functional enrichment, etc.)
• Demonstrated experience in generating SNP imputations models for endophenotypes (PrediXcan etc)
• Demonstrated expertise in using human genetics to deliver novel drug targets (Mendelian Randomization, TWAS)
• 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

Preferred Experience and Skills:

• Experience in any if Neuroscience, Cardiovascular and Metabolic diseases, Immunology and/or other complex diseases
• Experience in integrating single-cell transcriptomics with human genetics for advancing insights of disease mechanisms

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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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.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".

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

Search Firm Representatives Please Read Carefully
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

VISA Sponsorship:
Yes

Travel Requirements:
10%

Flexible Work Arrangements:
Hybrid

Shift:
1st - Day

Valid Driving License:
No

Hazardous Material(s):
n/a

Required Skills:
Biomarkers, Building High Performance Team, Data Analysis, Data Science, Genetic Epidemiology, Human Genetics, Machine Learning, Population Genetics, Scientific Modeling, Statistical Genetics

Preferred Skills:

Job Posting End Date:
12/23/2024
*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.

Requisition ID:R307823