Senior Associate, Investments (9770332)

Roivant Sciences•New York, NY

19h•$180,000 - $230,000•Hybrid

About The Position

Roivant Sciences, Inc. is seeking a Senior Associate, Investments to gather, analyze, and summarize data on emerging drugs and therapies in biopharma. This role involves building the scientific and clinical rationale for novel drug development ideas and acquisition targets, supporting deal negotiations, suggesting innovative clinical strategies, and identifying underappreciated biological targets. The Associate will collaborate with Roivant’s R&D team, including non-clinical, clinical, CMC, and global regulatory affairs, to interpret data across the biotech value chain. Responsibilities include analyzing clinical trial data, assessing methodologies, presenting findings and recommendations, and building comprehensive clinical efficacy and safety databases. The role also involves researching drug mechanisms, using modeling techniques to predict drug success and assess risks, modeling pharmacokinetic/pharmacodynamic profiles, forecasting therapeutic revenue, estimating development operating expenditures, and reviewing supply agreements and manufacturing risks. The Associate will perform analyses to evaluate asset return profiles, maintain relationships with biopharma companies, attend conferences, and source investment leads through various channels, maintaining internal databases.

Requirements

Bachelor’s degree or foreign equivalent in Human Evolutionary Biology, Biology, Chemistry, Bioengineering, or a related field.
Three (3) years of buy-side experience in the biotech and pharma investing industry in the position offered or a related position.
Three (3) years of experience analyzing clinical trial data using statistical models and methods, including Ancova, mixed model repeats, Student t-test, Chi-square, Mann-Whitney, Survival analysis, linear and logistic regression, Bayesian methods, and Meta analysis.
Three (3) years of experience applying statistical algorithms to interpret and predict outcomes based on clinical and pre-clinical data.
Three (3) years of experience reviewing, interpreting, and evaluating clinical trial methodologies, procedures, toxicology reporting, and data.
Three (3) years of experience using modeling techniques and predictive algorithms to assess drug efficacy and safety and to make data-driven recommendations about drug development and asset acquisition.
Three (3) years of experience in data analysis, including compiling, analyzing, and summarizing complex datasets from clinical trials and scientific literature.
Three (3) years of experience conducting research on emerging drugs and therapies, including compiling relevant data from clinical trials, literature, and other medical research sources.
Three (3) years of experience assessing regulatory and ethical compliance of clinical trials and drug approval processes.
Three (3) years of experience performing analysis related to pharmaceutical assets, including risk assessment and value prediction to inform key decisionmakers.
Three (3) years of experience negotiating, structuring, and documenting deals for therapeutic assets, including milestones and equity issuance/dilution while balancing legal, financial, regulatory, geographic, and operational considerations.

Responsibilities

Gather, analyze, and summarize data on emerging drugs and therapies across biopharma.
Build the scientific/clinical rationale and investment case for novel drug development ideas and acquisition targets.
Provide data to support deal negotiations, suggest innovative clinical strategies, and identify underappreciated biological targets.
Collaborate closely with Roivant’s R&D team to interpret data from assets across the biotech value chain.
Analyze clinical trial data, assess methodologies and procedures, and present findings, predictions, and recommendations.
Build comprehensive clinical efficacy and safety databases to evaluate assets.
Research the mechanisms of novel drugs by reviewing clinical trials, literature, and medical research, compiling relevant data for analysis.
Use modeling techniques and analytical algorithms to predict drug success, assess safety risks, and interpret advanced statistical methods to understand drug profiles.
Model pharmacokinetic/pharmacodynamic (PK/PD) profiles to optimize dosing strategies.
Forecast therapeutic revenue through commercial launch modeling and revenue projections.
Estimate development operating expenditures by understanding clinical trial design, statistical powering, endpoints, and related CMC constraints and costs.
Review supply agreements and assess manufacturing risks across small molecules, large molecules, and inhaled products, including scale-up from early-stage to commercial supply.
Perform analyses to evaluate asset return profiles to inform key decisionmakers.
Maintain relationships with biopharma companies and attend medical and business development conferences.
Source investment leads through private/public financing screens, emergent clinical data, and networking.
Maintain internal lead-tracking databases.