Senior Data Science Engineer Jobs in Boston, MA

INTRODUCTION

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to advancing our company's vast and expanding oncology pipeline, with a focus on multimodal biomarker discovery, validation, and implementation.

ROLE AND RESPONSIBILITIES

The successful candidate will:

• Investigate proprietary and public real-world molecular datasets and clinical trials in conjunction with tissue and periphery assays with a goal of identifying robust multimodal biomarkers of response and resistance to an array of cancer therapies across indications and lines of therapy, with line of sight to diagnostic development.
• Leverage advanced AI/ML approaches to integrate multi-modal data including RNAseq, WES, ctDNA, digital pathology, proteomics, immune activation assays, and liquid biopsies to discover biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes.
• Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Translational Oncology, Molecular Diagnostics, Clinical Development, Statistics, Therapeutic Area Biology, and Commercial Development.

BASIC QUALIFICATIONS

Education:

• Master's (with 12+ years) or Ph.D. (with 8+ years) in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical expertise and relevant experience in a pharma, biotech or academic setting.

Required Experience and Skills:

• Extensive experience applying computational methods in cancer biology.
• Extensive experience and demonstrated expertise with scientific cloud-based computation environments (R/Python highly preferred).
• AI/ML exposure and experience including supervised and unsupervised machine learning, foundation models, and modern coding.
• Experience with genomic datasets across cancer types and therapeutic modalities with proven expertise in drug development pipeline impact.
• Hands-on analysis experience with algorithms for large genetic, genomic, immunogenomic and clinical datasets (e.g. TCGA, GTEx, DepMap, CPTAC) as well as RWD genomic, imaging and EHR datasets.
• Experience with leading a team of highly performing computational scientists.
• Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.
• Independent, flexible and collaborative mindset.

PREFERRED QUALIFICATIONS

• Proven experience with analysis of genomic data originating from clinical trials.
• Exposure and experience with companion diagnostic development, preferably for NGS.
• Understanding of the major concepts of cancer biology as represented in molecular data.
• Expert knowledge of methods of statistical learning and data mining and application to biological problems.
• Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
• Record of publishing in high profile scientific journals.

REQUIRED SKILLS

• Artificial Intelligence (AI)
• Cancer Genomics
• Cancer Research
• Cloud Computing
• Computational Methods
• Data Science
• Genomic Data Analysis
• Machine Learning (ML)
• Multimodal
• Multimodal Analysis
• Oncology

PREFERRED SKILLS

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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COMPENSATION

• Salary Range: $194,100.00 - $305,600.00

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.

Employee Status:

Regular

Requisition ID: R403647