Senior Scientist, Bioinformatics

Job title: Senior Scientist, Bioinformatics in Cambridge, MA at MSD
Company: MSD
Job description: Job DescriptionThe Precision Genetics group within the Data and Genome Sciences Department is seeking a Senior Scientist to join our Computational Precision Immunology team in Cambridge, MA. We are looking for a skilled data scientist with extensive experience in companion diagnosis (CDx) development based on multi-modal and multi-scale data analyses.Key Responsibilities:

• Data Set Identification: Proactively identify datasets of autoimmune diseases from public, internal, and proprietary sources through collaborative efforts
• Collaborative Research: Partner closely with Clinical Research scientists to develop tailored strategies for the CDx development of immunology clinical trials
• Multi-Modal Data Analysis: Integrate genetic and genomic datasets to develop biomarkers for the patient stratification
• Spatial Transcriptomics: Collaborate with the Genome Sciences group to identify biomarkers from spatial transcriptomics on patient-derived samples
• Clinical Data Analysis: Analyze the multi-omics data from internal randomized clinical trials to develop and validate the CDx
• Emerging Methods: Stay at the forefront of novel methodologies in computational immunology for the precision medicine
• Project Management: Manage complex projects, proactively identifying challenges and forecasting timelines for key deliverables to meet pipeline objectives
• Effective Communication: Present findings to project teams, internal stakeholders, and the broader scientific community through internal documentation, presentations, and publications in leading journals

Qualifications:Education:

• Ph.D. in Computational Biology or a related field and relevant experience listed below

Required Experience and Skills:

• Proven track record in multi-omics-based patient stratification and CDx development
• Fundamental knowledge of multi-omics data analysis and integration (e.g. RNASeq, single-cell RNASeq, spatial transcriptomics, OLINK)
• Strong conceptual understanding of generative, discriminative, and contrastive machine learning methods for the feature optimization
• Proficiency in coding using R and Python, with the ability to establish best practices for reproducible data analyses
• A collaborative and self-motivated individual with a strong work ethic, ability to work in a dynamic environment and able to manage multiple objectives in parallel and adapt to changing priorities
• Excellent written and verbal communication skills

Preferred Experience and Skills:

• Experience in the process and analysis of real-world data
• Good understanding of auto-immune disease biology
• Experience in statistical and population genetics principles

#EligibleforERPCurrent Employees applyCurrent Contingent Workers applyUS 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 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.U.S. Hybrid Work ModelEffective 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 OrdinanceLos 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 OrdinanceSearch Firm Representatives Please Read Carefully
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Expected salary:
Location: Cambridge, MA
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