Senior Scientist, Data Science
USA - California - South San Francisco (Grand Ave), United States
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:
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 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 - $246,300.00Available 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:
RegularRelocation:
Domestic/InternationalVISA Sponsorship:
YesTravel Requirements:
No Travel RequiredFlexible Work Arrangements:
HybridShift:
1st - DayValid Driving License:
NoHazardous Material(s):
NoRequired Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall ModelPreferred 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.
ApplyJob Profile
Colorado Hybrid Hybrid work Hybrid work model Must be located in the US or Puerto Rico On-site Puerto Rico residents only Travel required US and Puerto Rico residents only
Benefits/PerksAccommodation support Bonus eligibility Equal opportunities Equal opportunity Flexible work Flexible work arrangements Health Care Hybrid work Hybrid work model Inclusion Inclusive environment Insurance Paid holidays Retirement benefits Sick Days Vacation
Tasks- Business intelligence
- Collaborate across disciplines
- Communication
- Compliance
- Data engineering
- Data modeling
- Data visualization
- Develop data visualization tools
- Execution
- Implement data analytical tools
- Innovation
- Integrate high-throughput assays
- Perform data mining
- Relationship Management
- Software development
- Statistical analysis
Analysis Analytical Analytical tools Biological Biology Biomarker development Biomarkers Biostatistics Business Intelligence Clinical Clinical Studies Cloud Cloud Computing Communication Compliance Computational Computer Computer Science Data Database Database design Data engineering Data Mining Data Modeling Data Science Data Visualization Data visualization tools Data Wrangling Design Development Digital Drug Development Education Engineering Execution Experimental Experimental Design Genomics Git High-throughput assays Image analysis Imaging Inclusion Innovation Insights Learning Linux Machine Learning Management Manufacturing Matlab Methodologies Modeling Omics Organization Programming Proteomics Python R Relationship Management Research Science Software Development Statistical analysis Statistical Methodologies Statistical techniques Statistics Testing Transcriptomics Version Control Visualization Visualization Tools Waterfall Written communication
Experience5 years
EducationAS Biology Biostatistics Business Computer Science Data Science Development Engineering Health Care Management Master Master's Ph.D. Relevant experience Science Statistical analysis Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9