Senior Scientist, Data Science

Job Description

The Anatomic Pathology Group at our company's South San Francisco site is seeking a passionate and talented Data Scientist with experience in programming, data science, and statistics to solve biological problems. The successful candidate will join a dynamic digital and quantitative pathology team to perform quantitative and statistical analysis on large-scale imaging datasets to support novel drug and biomarker development.

Key Responsibilities:

• Implement innovative data analytical tools and statistical methodologies to transform complex biomarker data into insights that can be readily used in drug development
• Perform data mining and data wrangling on large-scale datasets derived from image analysis to understand target biology, mechanisms of action, and to help identify potential clinical biomarkers
• Integrate high-throughput assays, including genomics, transcriptomics, and proteomics imaging datasets
• Develop end-to-end data visualization tools and conduct spatial analyses to understand and interpret complex high-dimensional data
• Collaborate proactively across disciplines, engaging with pathologists, machine learning scientists, molecular biologists, protein scientists, bioinformaticians, and software engineers

Qualifications:

Education:

• A Master's (with 5 years) or Ph.D. in Statistics, Biostatistics, Computer Science/Data Science or related disciplines and relevant experience listed below

Required Experiences and Skills:

• Extensive experience in the computational analysis and biological interpretation of diverse large-scale protein profiling datasets generated from high-dimensional imaging analysis
• Skilled in integrating results from multiple omics data sources and biological knowledge bases to customize analytical approaches for discovery research
• Proficient in applying and implementing both fundamental and advanced statistical techniques for non-clinical and clinical studies
• Strong programming skills with applications in imaging (e.g., Python, MATLAB) and statistical analysis (e.g., R)
• Exhibits a strong capacity for learning, maintaining a proactive and motivated approach, and consistently focusing on detail and execution
• Exceptional oral and written communication skills

Preferred Experiences and Skills:

• Knowledge and experience in computational analysis for image-based histological or tissue-based assay readouts
• Previous experience in the experimental design of biological assays, statistical hypothesis testing, and biological interpretation
• Experience in version control environments such as Git
• Proficient in working with high-performance Linux clusters and cloud computing environments

#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:

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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.

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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".

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:
$156,500.00 - $246,300.00

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.

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/International

VISA Sponsorship:
Yes

Travel Requirements:
No Travel Required

Flexible Work Arrangements:
Hybrid

Shift:
1st - Day

Valid Driving License:
No

Hazardous Material(s):
No

Required Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:
06/30/2025
*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.

Requisition ID:R345561