Data Science off-shore Lead – Life Sciences Domain

Resource Requisition Form

General/Project Information

• Position / Designation to fill: Data Science off-shore Lead – Life Sciences Domain
• No. of positions: 1
• Assignment Location: Pune
• Justification for the vacancy: New position required to lead and execute multiple tier-1 client projects/PoCs involving advanced Data Science techniques including AI, ML, GenAI, and analytical formulations within the Life Sciences domain.
• Project/Domain details: Multiple data science client project and PoCs in life sciences
• Needed By Date (DD/MM/YY): 01-09-2025
• Salary Range/Rate: TBD
• Work from Home: Yes

• Shift Hours: India-US overlap

   

Job Description

• Scope of work: Lead and execute multiple tier-1 client projects involving advanced Data Science techniques including AI, ML, GenAI within the Life Sciences domain.
• Responsibilities:
  • Lead data science efforts (AI, ML, GenAI, analytical formulation) for multiple client engagements in Life Sciences domain.
  • Manage end-to-end Data Science project lifecycle from problem comprehension, analytical solution development to final delivery.
  • Act as primary point of contact for client interactions, presentations, and requirement elicitation.
  • Guide teams on advanced data science techniques ensuring alignment with business objectives.
  • Collaborate cross-functionally with domain experts, business stakeholders, and technical teams to deliver robust analytical solutions.

Skills Required

• Essential Skills (Must have):
  • Expert knowledge of data science algorithms, methodologies, and end-to-end lifecycle (AI/ML/GenAI), MLOps and post-deployment service of AI models.
  • Strong comprehension of complex Life Sciences problems.
  • Exceptional articulation skills to communicate technical concepts clearly to both technical and business stakeholders.
  • Advanced analytical skills for strategic problem-solving and actionable insight generation.
• Additional Skills (Good to have):
  • Exposure to cloud platforms (AWS/Azure/GCP), DevOps, deployment and scaling frameworks.
  • Experience in leading agile teams and agile methodology.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Understanding of data engineering principles and big data.

Other Information

• Educational Qualifications: Bachelor’s and master’s in engineering/technology
• Experience Level (Total): 4-6 years
• Experience Level (Must Have Skills): 3-5 years