Salesforce Developer

Advocacy Refining AWS Tools Management Innovation User Story Compassion Databricks Data Science Communication Data Analysis Life Sciences AWS SageMaker Amazon Athena Prioritization Drug Discovery Pipeline Pilot Pharmaceuticals Problem Solving Data Management Solution Design Amazon Redshift Cheminformatics Computer Science Asset Management Product Strategy Machine Learning Telephone Skills Clinical Research Agile Methodology Business Problems Biopharmaceuticals Project Management Strategic Planning Product Management Process Management Scientific Studies Workflow Management Logical Data Models Benefits Management Contingent Workforce Chemical Engineering Product Requirements Stakeholder Management Biomedical Engineering New Product Development Relationship Management Requirements Management Application Development SQL (Programming Language) Agile Software Development Verbal Communication Skills Scrum (Software Development) Quantitative Structure Activity Relationship, * Collaborate closely with Product, Data Science, and Engineering teams to define and develop data products tailored for drug discovery and preclinical research.

• Gather, manage, and prioritize product requirements by engaging with scientific stakeholders to understand user problems, technical constraints, and strategic objectives.
• Define and refine the product backlog; create actionable user stories that reflect the unique workflows and challenges of preclinical drug discovery.
• Act as a user expert, deeply understanding the motivations, pain points, and goals of scientific users.
• Justify and prioritize improvements to existing products, focusing on delivering measurable value to scientific research and operations.
• Develop and maintain technical knowledge and domain expertise in drug discovery, cheminformatics, and data-driven research processes.
• Write clear problem statements and requirements; facilitate solution design with engineering teams.
• Serve as Product Owner on Agile teams or work closely with one to ensure scientific and data needs are met.
• Plan, design, and conduct testing activities; compile critical training and communication content for scientific end-users.
• Analyze data, observations, and research to generate insights that inform product strategy and decision-making.
• Support the Product Manager in defining and executing strategy in collaboration with engineering teams for one or more data products.
• Accept completed user stories, ensuring deliverables meet acceptance criteria and scientific requirements.
• Act as a customer champion, articulating and advocating for the needs of scientific stakeholders.

Required

• Bachelor’s degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or a related field.
• Two or more (2+) years building tools or data assets supporting scientific or data analytics workflows.
• Three or more (3+) years working with scientific users (e.g., chemists) to define requirements for data products.
• Experience with data analytics or data science capabilities, especially in a scientific context.
• Experience building ERDs, logical data models, and source-target mappings for scientific data.
• Hands-on experience or working knowledge with data management services (AWS Athena, Glue, S3, Redshift, or similar).
• Proficiency in SQL and scientific data management.
• Ability to translate scientific/business problems into actionable requirements and tasks.
• Strong analytical problem-solving skills.
• Excellent written and verbal communication skills, with the ability to engage both technical and scientific stakeholders.
• Ability to work independently and manage multiple complex projects simultaneously.

Preferred

• Advanced degree in a related field.
• Direct experience in pharmaceutical drug discovery and pre-clinical development.
• Domain knowledge or familiarity with cheminformatics, laboratory data, and scientific workflows.
• Knowledge of cheminformatics platforms (e.g., Pipeline Pilot, RDKit, OpenEye) and integration with data science tools.
• Familiarity with the drug discovery processes, including key endpoints such as potency, selectivity, ADMET properties, and lead optimization strategies.
• Familiarity with cheminformatics tools and concepts such as molecular descriptors, fingerprints, QSAR modeling, and chemical database management.
• Experience with Machine Learning Platforms (e.g., Sagemaker, DataBricks) in a scientific setting.
• Experience working in Agile software development.
• Familiarity with cloud-based software and scientific data platforms.

Required Skills: Agile Application Development, Agile Software Project Management, Asset Management, AWS Tools, Benefits Management, Biomedical Engineering, Chemical Engineering, Computer Science, Data Analytics, Data Science, Drug Discovery Process, Management System Development, Mechatronics, Multi-Management, Preclinical Research, Product Management, Requirements Management, Scientific Data Management, Stakeholder Management, Stakeholder Relationship Management, Strategic Planning, System Designs, Training Documents, Marketing Annuities Claude AI Leadership Governance User Story Scalability Wholesaling Fundraising AI Adoption Communication Prioritization Tax Accounting Decision Making Social Security Product Roadmaps Virtual Training Change Management Business Analysis Value Realization Microsoft Copilot Product Management Workflow Management Artificial Intelligence Employment Applications Software As A Service (SaaS) Employee Assistance Programs Scrum (Software Development) Health And Wellness Coaching Continuous Improvement Process Cross-Functional Collaboration Artificial Intelligence Strategy, Coaching Research Curiosity Marketing Annuities Operations Leadership Management Innovation Wholesaling Fundraising AI Adoption Market Trend Communication Presentations Accountability Prioritization Tax Accounting Business Acumen Social Security Customer Service Virtual Training Digital Marketing Influencing Skills Business Valuation Strategic Thinking Business Decisions Customer Engagement Business Priorities Emerging Technologies Operational Data Store Artificial Intelligence Employment Applications Strategic Prioritization Verbal Communication Skills Voice of the Customer (VoC) Employee Assistance Programs Health And Wellness Coaching Influencing Without Authority Continuous Improvement Process Customer Experience Improvement Customer Experience Strategy (CX)

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The salary range for this role is $117,000.00 - $184,200.00

We aspire to be the premier research-intensive biopharmaceutical company. We’re at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals., 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.