Module Manager – Pharma Intelligence and Clinical Data Curation

PROFILE SUMMARY:

• We are looking for Module Managers to lead a team of life-science researchers who build and maintain a curated intelligence database of drugs, clinical trials, deals and companies for a leading global pharma intelligence platform. The database is organised into therapeutic-area, modality and target/pathway modules, and every record is manually curated to give pharma and biotech clients in-depth, decision-grade insight into their competitive landscape.

• As Module Manager, you will own day-to-day delivery for your group of modules, covering both the maintenance of live modules and the build of new ones. You will be accountable for workflow and SLA delivery, data quality against defined benchmarks, the performance and growth of your team, and clear, proactive communication with our client.

• This is a blended role. Part of your time is scientific: reviewing curated records, making scope and relevancy calls, and analysing quality trends. The rest is operational leadership: planning and tracking work, governing quality and process, and developing your people. It suits a life-science professional with team-leadership experience who wants to grow into management while staying close to the science.

THE WORK - WHAT OUR TEAMS DO:

• This work sits within a secondary, desk-based clinical research function. We do not run trials, recruit patients, monitor sites or handle patient-level data. Instead, our teams systematically identify, appraise, extract and structure publicly available clinical and preclinical evidence into decision-grade datasets that global pharma and biotech companies use to benchmark their pipelines. 

• Each module runs to a documented scope with formal inclusion and exclusion criteria. The work begins with SOP-driven surveillance of trial registries, scientific literature, conference disclosures, company pipelines, press releases and regulatory announcements. Each drug, trial, deal or company is then screened against the module's scope criteria. Our teams extract detailed trial-level data (design, arms, endpoints, eligibility, subgroup results, milestones) and drug-level data (developers, targets, mechanism of action, therapeutic class, formulation, delivery, CMC and preclinical pharmacology). Records are classified against proprietary ontologies and maintained under defined version-control and governance rules, with internal QA, error-trend analysis and ongoing scope calibration. 

• Our portfolio spans 20+ modules including Oncology, Neuroscience, Cardiovascular-Renal-Metabolic, Immunology, Inflammation, Autoimmune, Cell Therapy, Cancer Vaccines, Oncolytic Viruses, Checkpoint, DNA Damage Response, Antibody Drug Conjugates, Bispecific, Targeted Protein Degradation, Microbiome, Cytokine, RNA, Gene Therapy etc.

KEY ACCOUNTABILITIES / RESPONSIBILITIES:

Delivery Management & Scientific Oversight

• Own end-to-end delivery for an assigned portfolio of modules — volumes, turnaround, backlog and coverage against service level agreements.

• Act as the senior scientific escalation point for scope interpretation, dataset tagging decisions, classification disputes and ambiguous or conflicting source data.

• Review curated records hands-on: verify scientific accuracy, completeness and consistency of trial and drug-level data before release.

• Plan daily/weekly targets and allocate tasks across the team, anticipating peaks around client priority requests.

• Track team productivity and ensure SLA compliance and on-time delivery across ongoing maintenance, new module builds and ad hoc tasks such as data clean-ups.

• Plan and govern cross-team processes and hand-offs, including coordination between build and maintenance teams.

• Govern central and group-specific trackers, keeping them accurate and up to date.

• Own the module query log — triage team queries, resolve what can be resolved locally, and escalate the rest. 

• Support business continuity, risk identification and mitigation planning for your portfolio.

Quality Assurance, SOP Governance & Compliance

• Drive the team to meet group quality benchmarks for curated drug and trial records before release, in line with internal standards and SLA’s.

• Run QC governance through regular SOP-based quality checks, sample-based spot checks and relevancy checks.

• Interpret client sampling feedback and audit reports; identify error patterns and root causes, and convert them into targeted corrective action and refresher training.

• Analyse quality trends, design data quality audits and clean-up projects, and present solution-oriented analytical reports with clear improvement plans.

• Enforce publication and version-control governance for curated records.

• Maintain, version-control and calibrate SOPs and working instructions in partnership with the client as scope, ontologies and data models evolve.

• Ensure SOP compliance within the team, raise queries to clarify scope and improve data quality and flag inconsistencies across processes.

• Support information security, data protection, confidentiality and process-compliance adherence within your teams.

Process Improvement

• Identify and remove bottlenecks in the curation workflow; recommend and implement process improvements that raise throughput without diluting accuracy.

• Define and track operational metrics — productivity, quality scores, rework rates, cycle time and utilisation.

• Evaluate and pilot AI-assisted and automation tools for source triage, extraction support and QC, with clear guardrails on scientific validation.

• Standardise best practices across modules so improvements in one team propagate to the rest.

Reporting

• Publish regular MIS reports on team performance and resource utilisation for Operations leadership.

• Maintain accurate documentation of process changes, scope decisions and quality interventions.

• Ensure accurate and timely delivery of data, reports and submissions requested by internal stakeholders and management.

People Management, Team Leadership & Capability Building

• Lead, coach and develop Senior Clinical Data Associates, QC Analysts and Researchers across your portfolio on SOPs, data accuracy and compliance.

• Run agenda-driven weekly team calls with clear action items and follow-ups.

• Provide hiring input and own operations onboarding, scientific induction and competency ramp-up for new researchers.

• Drive performance management through goal setting, aptitude assessment, evaluation reports, regular one-to-ones, feedback and improvement plans and deliver targeted training where gaps are identified.

• Manage attrition risk, engagement and motivation; build succession depth. 

• Provide Input and feedback to the Trainers to help build a structured training curriculum covering therapeutic-area knowledge, curation techniques and platform proficiency.

• Demonstrate strong work ethics and lead by example in responsiveness, accountability and continuous learning.

Client & Stakeholder Management

• Serve as a day-to-day point of contact for client counterparts on delivery, quality and scope matters.

• Prepare and present delivery reviews, quality dashboards and progress updates to the client and to internal leadership.

• Keep all client-facing trackers and channels updated.

• Proactively seek clarity on tasks and projects before work begins.

• Deliver priority tasks on time and to the required quality.

• Review client feedback promptly, and discuss and resolve any issues that have been flagged.

QUALIFICATIONS / REQUIREMENTS:

Education

PhD, Master of Science, Master of Pharmacy, Master of Technology or Pharm.D in a relevant discipline, such as Biotechnology, Biochemistry, Molecular Biology, Microbiology, Cell Biology, Immunology, Virology, Genetics, Neuroscience, Neurobiology, Neuropharmacology, Dermatology, Rheumatology, Pharmacy, Pharmaceutics, Pharmacology, Toxicology, Clinical Research, Biomedical Sciences, Life Sciences, Cancer Biology, Molecular Oncology, Stem Cell Technology, Regenerative Medicine or Bioinformatics.

• Not eligible: M.Pharm with a major in Pharmacognosy, or M.Sc. with a major in Botany, Zoology or Environmental Science.

Experience: 5 to 10 years

Therapeutic Area Expertise (mandatory)

We are hiring four Module Managers. Candidates must have in-depth knowledge of at least one of the areas below, demonstrated through work experience, research or publications, with at least 2 of their 5+ years spent in that area. 

• Immunology, Inflammation and Autoimmune Disorders 

• Neuroscience and Neuropsychiatric Disorders 

• Oncology

• Cell Therapy

People Management & Leadership

At least 1 year leading or supervising a team, either as a Team Lead or Manager, or as a recognised lead responsible for allocating work, reviewing quality, client coordination and training team members.

Preferred Background

Preference will be given to candidates with experience in one or more of the following areas:

• Pharma, competitive or clinical trial intelligence, including secondary research using trial registries, scientific literature and company disclosures

• Clinical, scientific or database curation, including bio curation

• Drug discovery, preclinical research or drug development

• Clinical research

• Medical or scientific writing

Scientific & Technical Skills

• Broad scientific understanding of end-to-end drug development, from discovery and preclinical research through registration and lifecycle management, including mechanisms of action, targets and therapeutic classes.

• Ability to read, interpret and critically appraise scientific literature, clinical trial publications, registry records, conference abstracts, press releases, company pipelines and regulatory disclosures, and to extract accurate, structured intelligence from them.

• Hands-on experience with clinical trial and/or preclinical study data, including key data points such as trial design, efficacy endpoints, PK/PD, safety and tolerability.

• Familiarity with global trial registries.

• Experience applying inclusion and exclusion criteria consistently, and working with ontology-, taxonomy- or controlled-vocabulary-driven data models.

Planning, Quality & Analytical Skills

• Strong planning, tracking and project management skills, with the ability to deliver under pressure against fixed turnaround commitments.

• Analytical thinking and strong QC skills, with the ability to spot quality trends and turn them into clear, solution-oriented reports.

• Foresight to anticipate issues, and the willingness to challenge the status quo and find better ways of working.

Tools & Technology

• Advanced proficiency in Microsoft Excel and the wider Microsoft Office suite.

• Familiarity with AI tools, ideally with hands-on project experience.

Communication & Personal Attributes

• Excellent written and verbal communication, with the confidence to present to international stakeholders.

• An inquisitive mindset and a commitment to continuous learning and improvement.

Academic Distinctions & Added Advantages

• Qualified in CSIR-NET (JRF/LS), ICMR-JRF (DHR-BRET), DBT-JRF (BET), GATE (XL/BT) or GPAT, or a NIPER graduate.

• Research publications in peer-reviewed journals, particularly in your therapeutic area.

• Certifications in Clinical Research or Clinical Data Management, or other recognised life-science certifications.

• Lean or Six Sigma exposure in a knowledge-process environment.