$6,000 - 10,000 monthly
Deep Intelligent Pharma (DIP) is an AI-native organization supporting globalpharmaceutical and biotech partners. We combine clinical judgement, scientificexpertise and AI-enabled workflows to accelerate evidence synthesis andclinical development decision-making.
As an AI Clinical Scientist (Clinical Strategy &Evidence), you will work closely with senior scientific experts on realclient programmes. This is not a clerical support role—you will contributeclinical reasoning and structured analysis to strategy discussions and keyR&D decisions.
· Interpret and synthesise clinical evidence (efficacy,safety, endpoints, unmet need, standard of care) and translate it intoactionable insights.
· Support clinical development strategy (indication strategy,Target Product Profile thinking, protocol-level considerations, developmentpathway planning).
· Conduct literature search, evidence mapping and structuredevidence synthesis using AI-assisted workflows.
· Collaborate cross-functionally across discovery,preclinical, clinical and regulatory planning stakeholders.
· Prepare scientific materials (briefs, slide decks,summaries) and support meetings with global clients and internal experts.
· Maintain clear documentation and high-quality outputsaligned with project expectations and timelines.
This role requires clinical judgement and interpretation of patient-care evidence; therefore, formal medical training and supervised clinical practice experienceare essential.
· Accredited medical degree (MBBS/MD or equivalent) in Clinical Medicine from a recognized institution.
· Completed structured hospital-based postgraduate clinicaltraining(e.g., residency/housemanship/standardised residency training/full clinicalrotations), with verifiable patient-care and clinical decision-makingexperience.
· Strong analytical thinking and ability to communicateclinical rationale clearly and logically.
· Proficient in English to review scientific literature, writeevidence summaries, and communicate with stakeholders.
· Understanding of clinical research fundamentals; knowledgeof clinical trials and ICH-GCP is an advantage.
· Clinical research experience (IIT or sponsor trials),exposure to medical monitoring, safety review, or protocol review.
· Publications, guideline/consensus involvement, orevidence-based medicine (EBM) training.
· Interest or experience in applying AI tools to literaturereview, evidence synthesis, or workflow automation.
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