280 Medical Research jobs in Trivandrum

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are seeking a Healthcare Research Analyst with 5+ years of experience in healthcare research, policy analysis, or pharmaceutical consulting. The role involves interpreting clinical data, modeling health economics, and evaluating global health trends.

Key Responsibilities

• Analyze clinical trials, cost-effectiveness (CEA/ROI), and regulatory frameworks.
• Apply DALY/QALY models to assess public health interventions and policy impact.
• Track chronic disease trends and digital health adoption.
• Leverage statistical tools and research databases for evidence-based insights.

Required Skills & Competencies

• Degree in Public Health, Epidemiology, Health Economics, Biostatistics, or Medicine.
• 5+ years in healthcare research, policy, or life sciences consulting.
• Proficiency with statistical software, epidemiological models, and peer-reviewed data sources.
• Familiarity with WHO, EPI, and global health metrics (DALY/QALY).

Benefits:

• Competitive compensation based on experience and expertise.
• Flexible working hours and remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Perks of Freelancing with Turing:

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration: 1 month.

• Design and develop clinical trial protocols, considering scientific rationale, patient populations, and endpoints.
• Oversee the implementation and monitoring of clinical trials, ensuring data integrity and patient safety.
• Analyze and interpret clinical trial data, collaborating with biostatisticians and data management teams.
• Prepare scientific reports, manuscripts for publication, and presentations for internal and external audiences.
• Ensure compliance with Good Clinical Practice (GCP), regulatory guidelines (e.g., ICH, FDA, EMA), and company SOPs.
• Provide scientific and technical expertise to cross-functional teams, including regulatory affairs, medical affairs, and marketing.
• Evaluate new drug candidates and therapeutic strategies.
• Stay updated on the latest scientific advancements and emerging trends in relevant therapeutic areas.
• Manage relationships with external investigators, academic institutions, and key opinion leaders.
• Contribute to the strategic planning and pipeline development of the company.

• Ph.D. or M.D. in a relevant life science discipline (e.g., Pharmacology, Biology, Medicine).
• A minimum of 4 years of experience in clinical research within the pharmaceutical or biotechnology industry.
• Proven experience in designing, executing, and analyzing Phase I-IV clinical trials.
• Strong knowledge of drug development processes and regulatory affairs.
• Excellent understanding of biostatistics and data analysis principles.
• Demonstrated ability to publish scientific findings in peer-reviewed journals.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Proficiency in using clinical trial management systems and data analysis software.
• Outstanding written and verbal communication skills, with the ability to present complex scientific information clearly.
• Ability to work independently with minimal supervision in a remote setting and manage multiple projects concurrently.
• A passion for innovation and a commitment to improving patient outcomes.

• Design and execute complex experiments to identify and validate potential drug targets.
• Conduct in vitro and in vivo studies to evaluate the efficacy and safety of new drug candidates.
• Utilize advanced analytical techniques and instrumentation for compound characterization and analysis.
• Analyze and interpret experimental data, drawing meaningful conclusions and making recommendations for further research.
• Prepare detailed research reports, manuscripts for publication, and presentations for scientific conferences.
• Collaborate effectively with cross-functional teams, including medicinal chemists, biologists, and pharmacologists.
• Stay abreast of the latest scientific literature, emerging technologies, and industry trends in pharmaceutical research.
• Contribute to the development and optimization of research methodologies and protocols.
• Ensure compliance with all relevant laboratory safety regulations and ethical guidelines.
• Manage research projects, including resource allocation and timeline adherence.

• A Ph.D. in Pharmacology, Pharmaceutical Sciences, Chemistry, Biology, or a related discipline.
• A minimum of 3-5 years of post-doctoral research experience in the pharmaceutical industry or academia, focusing on drug discovery.
• Demonstrated expertise in experimental design, execution, and data analysis in a relevant therapeutic area.
• Proficiency with various laboratory techniques and analytical instrumentation common in drug discovery (e.g., cell-based assays, HPLC, mass spectrometry).
• Strong understanding of pharmacokinetics, pharmacodynamics, and toxicology principles.
• Excellent scientific writing and presentation skills.
• Ability to work independently and collaboratively in a remote research environment.
• Strong problem-solving abilities and a critical thinking mindset.
• Experience with computational biology or cheminformatics tools is a plus.
• A track record of publications in peer-reviewed journals.

• Design, execute, and interpret complex scientific experiments to advance research objectives.
• Develop and validate new methodologies and experimental protocols.
• Analyze and interpret large datasets using advanced statistical techniques and scientific software.
• Prepare high-quality scientific manuscripts for publication in peer-reviewed journals.
• Present research findings at national and international conferences.
• Collaborate with a multidisciplinary team of scientists, engineers, and technicians to achieve research goals.
• Manage research projects, including budgeting, resource allocation, and timeline management.
• Contribute to the development of intellectual property, including patent applications.
• Stay abreast of the latest scientific literature, technological advancements, and emerging trends in the field.
• Mentor and guide junior researchers and support staff.

• Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Engineering) from a recognized institution.
• Minimum of 5 years of post-doctoral research experience in a specialized field.
• A strong publication record in high-impact scientific journals.
• Proven expertise in experimental design, data analysis, and scientific methodology.
• Proficiency with relevant scientific instrumentation and laboratory techniques.
• Experience with statistical software (e.g., R, Python, SPSS) and data visualization tools.
• Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
• Strong critical thinking, problem-solving, and analytical skills.
• Demonstrated ability to work independently and collaboratively in a research environment.
• Experience in project management and leading research teams is highly desirable.

• Conducting original research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Designing, developing, and implementing advanced AI models and algorithms.
• Publishing research findings in top-tier academic conferences and journals.
• Collaborating with engineering teams to transition research prototypes into production-ready systems.
• Analyzing large datasets to identify patterns, extract insights, and inform model development.
• Developing and applying statistical methods to validate research hypotheses and evaluate model performance.
• Staying abreast of the latest advancements and breakthroughs in AI and related fields.
• Mentoring junior researchers and interns, fostering a culture of innovation.
• Presenting research work to both technical and non-technical audiences.
• Identifying new research opportunities and developing proposals for funding.
• Contributing to the strategic direction of the AI research roadmap.
• Ensuring ethical considerations and responsible AI practices are integrated into research.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• A strong publication record in leading AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL).
• Proven experience in developing and implementing sophisticated AI models using frameworks like TensorFlow, PyTorch, or JAX.
• Expertise in at least one core AI domain (e.g., NLP, Computer Vision, ML).
• Proficiency in programming languages such as Python, and familiarity with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Solid understanding of algorithms, data structures, and software development best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex ideas clearly.
• Demonstrated ability to work effectively in a hybrid research environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) for large-scale AI training is a plus.
• A genuine passion for AI research and its potential to transform industries.

• Conduct research and development in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
• Design, implement, and evaluate novel AI algorithms and models.
• Develop prototypes and proofs-of-concept for new AI applications.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
• Publish research findings in leading academic conferences and journals.
• Stay current with the latest advancements and research in the AI field.
• Contribute to the intellectual property portfolio through patent applications.
• Mentor junior researchers and contribute to the growth of the AI research community within the company.
• Utilize large datasets for training and testing AI models.
• Optimize AI models for performance, scalability, and efficiency.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in AI, demonstrated through publications, patents, or significant project contributions.
• Expertise in at least one major AI subfield (e.g., NLP, Computer Vision, ML).
• Strong programming skills in Python and experience with AI frameworks (e.g., TensorFlow, PyTorch, Keras).
• Solid understanding of mathematical concepts underlying AI, including linear algebra, calculus, and probability.
• Experience with data manipulation and analysis tools.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability to work independently and as part of a collaborative research team in a remote setting.
• Strong communication skills, with the ability to articulate complex technical concepts clearly.
• Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment is a plus.