Position:
Data Scientist, Machine Learning
Company:
Trinity Life Sciences
Location:
India - Bangalore
Job type:
Full time
Job mode:
Onsite
Job requisition id:
JR100672
Years of experience:
0-3 years
Company description
Trinity Life Sciences is a premier organization dedicated to powering the future of life sciences commercialization through a unique fusion of human ingenuity and artificial intelligence.
With a rich history spanning over 30 years, the firm has established itself as a trusted partner for the world’s leading pharmaceutical, biotech, and medtech companies.
The company integrates deep therapeutic expertise with a purpose-built technology platform to accelerate clarity and confidence for clients throughout the commercialization journey.
Their comprehensive services cover the entire product lifecycle, ranging from initial pre-launch strategies and scaling operations to navigating loss of exclusivity.
Headquartered in Waltham, MA, Trinity has grown significantly to encompass a global team of 1,300 professionals operating across 14 offices and five continents.
The organization is renowned for setting high industry standards in quality, responsiveness, and collaborative client partnerships.
By providing foresight and execution support, Trinity empowers its clients to achieve confident product launches and decisive market advantages that drive measurable patient impact.
The company’s commitment to innovation is evidenced by its constant evolution in data science and analytics to solve complex challenges in the healthcare domain.
They prioritize passion, customer focus, and the development of talent, offering extensive programs for early talent, learning, and engagement.
Profile overview:
This role is designed for a data-driven professional who is eager to apply advanced analytical techniques to solve real-world problems in the pharma domain.
The candidate will be responsible for conducting both simple and advanced data analyses to empower clients to make informed, data-backed business decisions.
A key aspect of this position is working closely with project leadership to define scope, manage end-to-end implementation, and ensure all deliverables meet high quality and timeline standards.
The role demands a blend of technical expertise and stakeholder management, as the incumbent will interact with both internal teams and external clients to understand requirements.
You will be expected to utilize existing statistical models while simultaneously developing new ones to address complex commercialization challenges.
The ideal profile involves someone who is capable of building simulation tools and models from the ground up, demonstrating both creativity and technical rigour.
Maintaining the highest standards of industry best practices is crucial, particularly regarding trends within the pharmaceutical and life sciences sectors.
You will be a vital link between business problem statements and technical execution, translating raw data into actionable business intelligence.
Success in this role requires a proactive approach to project management, ensuring that every phase of the analytical process is executed with precision and impact.
Qualifications:
Demonstrable experience and hands-on proficiency in core programming languages, specifically Python, R, or SAS.
Strong technical background in modern data engineering and analytical tools, including Pyspark, SQL, and Google Big Query.
Exceptional quantitative and analytical problem-solving skills, with the ability to navigate complex datasets efficiently.
Ability to develop, maintain, and implement statistical, econometric, and optimization models to address business-critical questions.
Experience in designing and developing machine learning models and simulation tools from scratch to provide deep-dive insights.
Capability to manage the end-to-end lifecycle of data projects, from initial scoping and requirement gathering to final implementation.
Strong interpersonal and communication skills to effectively manage relationships with diverse internal and external stakeholders.
Proven track record in project management, with an emphasis on adhering to project timelines, quality assurance, and deliverable excellence.
A foundational understanding of the life sciences or pharmaceutical domain is highly advantageous for effective analysis.
Flexibility to work in an onsite environment in Bangalore, collaborating directly with team members to foster innovation and project success.
Additional info:
This role offers a unique opportunity to work on high-impact projects that directly influence global healthcare and patient outcomes.
You will be integrated into a culture that values passion, innovation, and continuous learning, supported by comprehensive professional development frameworks.
The position provides exposure to advanced analytical methodologies and the chance to contribute to the evolving field of artificial intelligence in life sciences.
Candidates will benefit from a collaborative work environment that emphasizes inclusion, engagement, and cross-functional teamwork.
Trinity Life Sciences provides a structured environment for early talent to grow, offering clear paths for career progression and mentorship.
The role involves working with diverse datasets, providing broad experience in data mining, experiment building, and result interpretation.
As part of a global team of 1,300 professionals, you will have access to a vast network of experts and resources across the world.
This is an ideal role for individuals who are passionate about using data science to bridge the gap between complex science and commercial reality.
The company places a high premium on following industry-trending analytics, ensuring that team members stay at the cutting edge of the domain.
Participation in practice case studies and ongoing learning initiatives will ensure that your skills remain relevant and competitive in the market.
Please click here to apply.
Daily job updates on WhatsApp, Click here
