Merck
Senior Data Specialist, Modeling & Informatics
- Location
- MA (MA)
- Posted
- Posted today (employer shows the date only)
- Source
- Workday (employer's applicant tracking system)
- Category
- Engineering/Technology
- Industry
- Pharma/Biotech
Application: Workday — account required, long form — you fill it in on the employer's site.
UNTIL never charges to apply and never asks for payment or personal info on behalf of employers.
Apply kitYour saved details, ready to copy
From the employer's posting
Job Description
Position Description
We are seeking an exceptional and highly motivated informatician to join the Cheminformatics group within Modeling and Informatics (M&I) at our company. This role requires strong interpersonal and problem-solving skills and experience working in a cross-functional team environment. It involves both the development of innovative computational methods involving AI/ML and cheminformatics, as well as direct application of advanced computational approaches to the invention of novel medicines.
M&I is an inclusive team within our Research & Development Division Discovery Chemistry organization, comprising approximately 50 computational chemists, cheminformaticians, and data scientists. We leverage cutting-edge capabilities in structure-based modeling, predictive science, and AI/ML to drive drug design and development globally, with a proven track record of pipeline impact. The selected candidate will work closely with the M&I team, our world-class chemistry teams, as well as cross-functionally with experimental and computational colleagues in the early target discovery space on innovative science that has a wealth of opportunities to impact drug discovery and ultimately save and improve patient lives.
Key responsibilities will include:
- Implement and apply effective AI/ML and cheminformatics workflows to impact early target discovery space data analysis.
- Analyze, interpret, and summarize complex chemical biology data and utilize a variety of data visualization tools to communicate findings.
- Deliver optimized informatics algorithms and workflows to expedite drug discovery pipelines in the early target discovery space for small molecules, peptides, and targeted protein degraders.
- Leverage novel ML, statistics, and cheminformatics techniques to improve hit identification for different screening paradigms.
- Analyze and integrate internal and external knowledge to facilitate biological and chemical signature identification.
- Proactively engage with cross-functional teams of experimental and computational scientists and collaborate effectively to advance project and pipeline goals
- Continue research in areas of AI/ML and cheminformatics relevant to drug discovery, and evaluate new technology and software from commercial sources, open innovation, or external collaborations.
- Effectively communicate scientific results internally and externally through presentations and publications.
- Share AI/ML and/or data engineering knowledge to augment team skills and capabilities.
Position Qualifications:
Education Minimum Requirement:
Ph.D. in cheminformatics, bioinformatics, computational biology or chemistry, computer science, statistics or related STEM fields
Required Experience and Skills:
- Experience applying cheminformatics or AI/ML approaches to problem-solving in drug discovery.
- Broad understanding of modern data science methods, particularly machine learning, e.g., predictive modeling, active learning, explainable ML.
- Strong oral and written communication skills, as well as problem-solving skills.
- Track record of scientific publications in peer-reviewed journals.
- Proficiency in scripting (Python and/or R), SQL, and cheminformatics toolkits (OEChem, RDKit, DeepChem).
Preferred Experience and Skills:
- Demonstrated ability to develop and apply AI/ML to problems of chemical or biological interest.
- Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments.
- Expertise in machine learning libraries (TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn).
- Experience with workflow applications and data analytics software (Pipeline Pilot, Knime, Spotfire).
- Experience with high throughput screening data analysis methods.
- Experience in chemical and biological signature identification and/or biomarker discovery.
- Familiarity with or experience with multiple therapeutic modalities (small molecules, peptides, ADCs, etc.)
- Experience working in multidisciplinary teams that include experimental scientists.
#EligibleforERP
Required Skills:
Algorithms, Biological Data Analysis, Biomarker Discovery, Biovia Pipeline Pilot, Chemical Informatics, Cheminformatics, Computational Biology, Data Analysis, Data Modeling, Drug Discovery Research, Informatics, KNIME, Machine Learning (ML), Python (Programming Language), TIBCO Spotfire
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…
Similar live roles
- Senior Operations Engineer - API
Merck · Posted today
USA - Virginia - Elkton - Senior Operations Engineer - Spray Drying
Merck · Posted today
USA - Virginia - Elkton - Senior Operations Engineer - Drug Product
Merck · Posted today
USA - Virginia - Elkton - Assoc Dir , Data Science
Merck · Posted today
- Sr. Specialist, Cybersecurity Engineering
Merck · Posted today
- Process modeling (Protein/Antigen) Principal Data Scientist - Canopy
Sanofi · Posted today
Waltham, MA