Life Science (Literature Review & Evidence Synthesis) - Consultant

Role overview

Life Science (Literature Review & Evidence Synthesis) - Consultant at CapeStart

We are seeking a Senior Life Science Research Analyst with 3–5 years of experience in systematic literature reviews (SLR), targeted literature reviews (TLR), meta-analysis (MA), and network meta-analysis (NMA) to join our growing evidence synthesis team.

Responsibilities

• Perform title/abstract screening, full-text screening, data extraction, and evidence synthesis.
• Prepare high-quality scientific reports, manuscripts, evidence summaries, presentations, and client-ready deliverables.
• Collaborate with cross-functional teams and contribute to project planning and execution.

Required qualifications

• Minimum qualification: Degree in Life Sciences, Pharmacy, Public Health, Epidemiology, Biostatistics, Biomedical Sciences, or a related discipline with relevant experience in literature review and evidence synthesis.

Employment details

• Location: Chennai [Tamil Nadu] [India], Tamil Nadu [India], Nagercoil [Tamil Nadu] [India]

Application details

• Apply PRISMA guidelines and accepted evidence synthesis methodologies throughout project execution.

Benefits

• The ideal candidate should be comfortable managing multiple projects simultaneously, mentoring junior team members, and supporting the delivery of high-quality evidence generation projects for pharmaceutical, biotechnology, and medical device clients Independently execute end-to-end systematic and targeted literature reviews.

Additional role details

• The successful candidate will independently execute literature review projects from protocol development through reporting while ensuring methodological rigor, scientific accuracy, and timely delivery.
• The role requires hands-on experience in evidence synthesis, quantitative analysis, and scientific writing, with the ability to collaborate across multidisciplinary teams and contribute to continuous process improvement.
• Develop review protocols, research questions, eligibility criteria, and literature search strategies.
• Conduct and/or support meta-analysis (MA) and network meta-analysis (NMA).
• Interpret quantitative findings and translate statistical outputs into scientifically meaningful narratives.
• Conduct risk of bias and quality assessments using appropriate assessment tools.
• Perform quality control and peer review of project outputs.
• Mentor junior analysts and share best practices across the team.
• Stay updated with emerging methodologies, literature review standards, and evidence synthesis techniques.