Data Scientist at Lokavant

About the Opportunity 
 
Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that. 
 
We are seeking a thoughtful, hands-on, and output-oriented data scientist with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with the Engineering and Product teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models. 
 
Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry. 
  
Key Responsibilities 


Design, build, test and integrate your predictive models into our product. Think anomaly detection for key risk indicators and Bayesian forecasting models for patient enrollment modeling. 


Develop tools to enable scalable practices across the growing Data Science team. Think model and query optimization, re-usable internal libraries, and process improvements. 




Work with data, such as data cleaning, transformation, extraction and loading (ETL), to prepare datasets for further analysis and modelling. 


Perform exploratory data analysis, evaluate datasets for business values, and produce easy-to-understand visualizations highlighting key insights. 


Use a variety of machine learning techniques to solve product focused business problems. 


Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process. 


Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy. 




Mentor and be mentored by data scientists of varied experience levels and subject matter areas. 


  
Minimum Requirements 


3+ years of relevant experience in an analytical role involving data science and statistical modeling 


High proficiency in Python and SQL. Bonus points for R, or other scripting languages. 




Experience applying advanced statistical models to real world business problems. 


Bonus points for experience building data models, and a solid understanding of the “modern data stack”. 


Bonus points for experience with Looker, Tableau or other BI visualization tools. 


Exceptional written and verbal communication skills. 


Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills. 




Ability to work as part of a collaborative cross-functional team in a fast-paced environment. 


Minimum holding a Master’s degree or above with strong academic performance in Statistics, Mathematics, Computer Science, Economics, or equivalent field. 


  
Preferred (Nice-to-have) Qualifications 


Experience in the life sciences industry 




Experience with healthcare data, ideally clinical/operational clinical trial data 


Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.) 


Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.) 


 
Salary Range 
$115,000 - $120,000