Introduction
The candidate should have demonstrated experience in data mining methods using large scale data, hypothesis generation, and integration of diverse data sets. The candidate should identify the current gaps in the strategies & methodology and able to come up with improvements in the practiced procedures.
Focused on applying data mining techniques, performing statistical analysis, and building high quality prediction systems.
Help solve manufacturing problems by conducting trend analysis, root cause investigations and process optimization. Bring innovative approach by developing sound hypotheses and proposing a sound design of experiments.
Collaborate with the R&D and Clinical departments to optimize study designs and critical end points of clinical trials.
Collaborate to develop an understanding and documentation of business problems, product requirements and success metrics.
Work as a data strategist and predictive modeler, researching, identifying and integrating data sets and innovative Algorithms.
Responsibilities
The Data Scientist is an expert position and is instrumental to generate insights using extensive internal and external data with appropriate analysis methods to support the conduct of indication, protocol and site-feasibility assessments. Key tasks includes defining data requirements (e.g. past performance, epidemiology and business/ competitive intelligence databases), conducting searches, consolidating data, leading the analysis, scenario modelling and supports Feasibility Strategists to interpret the results to formulate appropriate recommendations for feasibility.
a. Epidemiology, Clinical Practices, Inclusion/Exclusion Criteria, Previous/Ongoing Studies (incl. their performance), Potential Sites/Investigators (incl. experience, performance, warnings etc), Prediction of Study Timeline, covering all legal, regulatory, medical aspects (e.g., disease incidence and prevalence, competitive landscape, standard of care) and operational aspects (logistics, historical performance, and start-up times), Competitor(s),Product pipeline and therapy area assessments, Clinical trial tracking (incl. patient recruitment issues, protocol design issues), Clinical endpoints analysis and Development timelines and other business/ competitive intelligence.
b. Validation of strategic aspects and operational practicability of the clinical development plan, study concepts and draft protocols, planning and prediction of patient recruitment strategies concerning regions, countries and centres, and predicted enrolment and screening failure rates in close cooperation with the Feasibility Strategist.
Skill Set
Job Type: Full-time
Salary: ₹565,000.00 to ₹952,000.00 /year