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Sr. Scientist, Computational Biology at MSD. Location Information: USA - California - South San Francisco (Gateway Blvd), United States. . Job Description. The Precision Genetics group within the Data, AI and Genome Sciences (DAGS) Department is recruiting a Sr. Scientist, Computational Biology to support Cardiometabolic Drug Discovery. We are seeking an entry level computational biologist with a broad background in applying novel data science approaches to solve real world problems.. You will perform hands-on data analysis of data multi-omic profiling data generated in support of drug discovery programs in the Cardiometabolic Disease Area. You will also, in collaboration with the Statistical Genetics group, mine public human genetic data repositories to generate target/biomarker hypotheses. . You will work closely with the disease area biologists to design experiments and analysis strategies, perform analysis and present the results to the team. You will also identify relevant data sets in the public domain and bring in the necessary data and integrate these with internal datasets to extract more value. 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:. Design and analyze muli-omic profiling experiments to support discovery programs,. Identify relevant datasets in the public domain to internalize and integrate with custom datasets generated in-house.. Collaborate with Stat Gen group to generate target/biomarker hypothesis from genetics data available from consortia and partnerships.. Collaborate with experimental scientists in a matrixed environment to develop research plans and perform bespoke analysis. Clearly communicate results to project teams, our company's scientific community, internal documents and presentations.. Qualifications:. Education:. Ph.D. in Computational Biology or related discipline and a minimum of two (2) years of relevant post-doctoral research experience. Required Experience and Skills: . Deep expertise in multi-omic profiling data: GWAS, RVAS, transcriptomics, proteomics data analysis. Hands-on experience in machine learning methods and LLMs.. Ability to code in R/Python and establish best practices for reproducible data analyses. Excellent oral and written communication skills. Preferred Experience and Skills: . Experience in classical ML and LLMs. Experience in biobanking and biospecimen operations. Familiarity with functional genomics analyses of human samples. Familiarity with animal models of immune-mediated diseases. #EligibleforERP . Current Employees apply . HERE. Current Contingent Workers apply . HERE. 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.. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:. EEOC Know Your Rights. EEOC GINA Supplement​. We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.. Learn more about your rights, including under California, Colorado and other US State Acts. 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”.. The . salary. range for this role is. $128,800.00 - $202,700.00. 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. 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:. No. Travel Requirements:. 10%. Flexible Work Arrangements:. Not Applicable. Shift:. 1st - Day. Valid Driving License:. No. Hazardous Material(s):. No. Required Skills:. Computational Biology, Data Analysis, Machine Learning, Omics, Proteomics, Transcriptomics. Preferred Skills:. Job Posting End Date:. 06/7/2025. *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. . .