What are the responsibilities and job description for the Associate Scientific Director, Data Science (Billerica MA) position at Merck KgaA?
Job Details
Work Location: Billerica, Massachusetts
Shift:
Department: HC-RD-BSB Bioinformatics
Recruiter: Rena Ann Peterson
This information is for internals only. Please do not share outside of the organization.
Your Role
You will collaborate with scientists and clinicians in neurology and immunology, applying machine learning (ML) and AI to tackle key challenges in drug development. As part of a data sciences team, you will utilize molecular, medical, and literature datasets to:
Match drugs to patients
Elucidate drug mechanisms of action
Identify biomarkers for response and safety
Refine clinical trial designs
Discover or prioritize drug targets
Your projects will involve diverse data types, including large single-cell collections, MRI images, biomedical literature, and real-world datasets (e.g., insurance claims, electronic healthcare records). You will engage with biologists, clinicians, biomarker specialists, and other scientists, as well as data scientists.
Who You Are
You have a background in computer science or data science, with a proven track record of applying AI and ML techniques to scientific problems. Your experience reflects a solid understanding of the underlying mathematics, tools, implementation practices, and engineering skills, along with knowledge of biological and medical data types. Ideally, you have experience in healthcare-related data (e.g., image processing, EHRs, claims) or other business areas.
Minimum Qualifications:
Preferred Qualifications:
Location: Billerica MA preferred, or remote
Pay range for this position: $144,600 - $217,000
Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses.
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.
Shift:
Department: HC-RD-BSB Bioinformatics
Recruiter: Rena Ann Peterson
This information is for internals only. Please do not share outside of the organization.
Your Role
You will collaborate with scientists and clinicians in neurology and immunology, applying machine learning (ML) and AI to tackle key challenges in drug development. As part of a data sciences team, you will utilize molecular, medical, and literature datasets to:
Match drugs to patients
Elucidate drug mechanisms of action
Identify biomarkers for response and safety
Refine clinical trial designs
Discover or prioritize drug targets
Your projects will involve diverse data types, including large single-cell collections, MRI images, biomedical literature, and real-world datasets (e.g., insurance claims, electronic healthcare records). You will engage with biologists, clinicians, biomarker specialists, and other scientists, as well as data scientists.
Who You Are
You have a background in computer science or data science, with a proven track record of applying AI and ML techniques to scientific problems. Your experience reflects a solid understanding of the underlying mathematics, tools, implementation practices, and engineering skills, along with knowledge of biological and medical data types. Ideally, you have experience in healthcare-related data (e.g., image processing, EHRs, claims) or other business areas.
Minimum Qualifications:
- Master's degree in computer science or related field
- At least 6 years of relevant experience
- Proven application of ML/AI techniques in scientific contexts, particularly in deep learning, LLMs, embeddings, transformers, GCNs, and auto-encoders
- Strong proficiency in Python and R for ML, including various ML libraries
- Hands-on experience with scalable computing in high-performance environments
- Familiarity with big data environments or tech stacks
Preferred Qualifications:
- PhD in computer science, data science, machine learning, or related field
- Experience in pharma or biotech
- Full-stack proficiency in ML environments or tools, with capability in data engineering or ML ops
- Knowledge of statistics and non-ML data analyses
Location: Billerica MA preferred, or remote
Pay range for this position: $144,600 - $217,000
Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses.
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $144,600 - $217,000
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