- B2B
- Growth StageExpanding market presence
Decision Analytics and Data Science Consultant (Pharmaceutical Industry)
- ₹12L – ₹16L • 0.1% – 0.2%
- 3 years of exp
- Full Time
Not Available
In office - WFH flexibility
Sanga Reddy Peerreddy
About the job
About Us:
At Setuserv, we develop cutting-edge Generative AI, Machine Learning, and Analytics solutions tailored to the pharmaceutical industry. We focus on leveraging advanced technologies to drive data-driven decisions that enhance patient outcomes and streamline industry operations.
Job Description:
We are looking for a skilled Consultant with expertise in Python programming, Generative AI/Machine Learning/Natural Language Processing (NLP), combined with a strong background in pharmaceutical analytics. This role demands technical proficiency, problem-solving skills, and effective communication to deliver impactful solutions to our clients.
Key Responsibilities:
- Design and implement GenAI, ML, and Analytics solutions for the pharmaceutical industry.
- Translate client business needs into technical requirements.
- Apply advanced analytics to extract insights from large, complex datasets.
- Develop GenAI/NLP models to analyze unstructured data such as clinical trials, research papers, and social posts.
- Collaborate with data scientists to deliver high-quality solutions.
- Communicate technical concepts and findings to non-technical stakeholders.
- Stay updated on advancements in GenAI, ML, and pharmaceutical analytics.
- Provide technical leadership and mentorship to junior team members.
- Present findings and recommendations to clients and stakeholders.
- Manage client relationships and serve as a key contact on projects.
- Ensure timely project deliverables and status updates.
- Develop custom analyses using Python.
Qualifications:
- 3-5 years of relevant experience with a strong academic background in CS, data science and data analytics disciplines.
- Extensive pharmaceutical industry experience, particularly in analytics.
- Proven Python programming expertise.
- Hands-on experience with GenAI, ML, or NLP technologies.
- Proficiency in database management and data visualization tools (e.g., Tableau, Power BI).
- Strong problem-solving and critical-thinking abilities.
- High motivation to self learn, adaptability, and attention to detail.
- Excellent communication skills.
- Ability to work collaboratively in a team environment.
- Proven track record in managing multiple projects and meeting deadlines.
- Experience with cloud-based analytics platforms (AWS, Azure, Google Cloud).
Why Join Us?
- Work on innovative projects that impact the pharmaceutical industry.
- Collaborate with a team of passionate professionals.
- Opportunities for professional growth and development.
- Competitive salary, bonus incentives, and stock options.
How to Apply:
Submit your resume and a cover letter detailing your experience and qualifications to [email protected].