Senior / Staff Data Scientist - Quantitative Epidemiologist
Biobot Analytics
This job is no longer accepting applications
See open jobs at Biobot Analytics.See open jobs similar to "Senior / Staff Data Scientist - Quantitative Epidemiologist" Homebrew.Essential Duties and Responsibilities (What you will be doing):
- Work with our Product team and customers to identify the most important analytical problems in substance use and infectious disease wastewater based epidemiology.
- Propose and scope multiple candidate approaches to solve these problems including the application of both existing epidemiology methods and novel alternatives.
- Rank these candidates and choose an approach considering not only the primary question to be answered, but also model complexity, interpretation, and scalability.
- Rapidly prototype and share your work with the broader Data Science group and Product organization soliciting feedback and building team-wide conviction about results and their implications. You will also be expected to provide constructive feedback to others.
- Manage your code in Gitlab and create detailed documentation of both code and results.
- Collaborate closely with our Software Engineering team to create a final production version of any feature chosen for launch and deploy it within our preferred compute framework (AWS, Snowflake, Snowpark, dbt).
- Partner with our Product and Marketing teams to create customer facing technical documentation and product collateral.
- Occasionally participate in calls with customers requiring more technical support.
- Collaborate effectively with scientists and non-scientists, inside and outside the Data Science group and share your specific skills and expertise with the team.
- Work independently and prioritize among multiple important tasks.
- Be a flexible team player prioritizing company success.
Education and/or Work Experience Requirements (What you need to succeed):
- PhD, or comparable combination of education and experience, in Epidemiology, Health Sciences, Data Science, Biostatistics, Bioengineering, or a related field
- 5+ years experience developing advanced analytical models to solve problems in Epidemiology, Public Health, or a related space
- Strong preference for candidates with recent tech/biotech industry experience developing and delivering data- or analytics-based products
- Expertise in statistical, analytical, and data science methods, including advanced regression, bootstrapping, nonparametric statistics, simulation, Frequentist or Bayesian modeling, and compartmental or agent-based modeling
- Mastery of Python including advanced analytical libraries/tools (e.g. NumPy, Matplotlib, pandas, scikit learn, PyTorch)
- Proficiency in modern software development tools, patterns and concepts including version control (git), cloud computing (AWS), CI/CD, test-driven development, containerization and model deployment
- Willingness to develop deeper expertise in both Infectious Disease Epidemiology and Substance Use Epidemiology
- Willingness to share your technical expertise with your colleagues to support their success
- Ability to communicate the health and business implications of complex features and one-off analyses to non-scientific audiences
Education and/or Work Experience Bonuses (What will help you succeed):
- Experience with R
- Expertise in Infectious Disease Epidemiology or Substance Use Epidemiology
- Expertise in addressing bias and confounding in epidemiological analyses
- Experience with our assay platforms -- qPCR, ddPCR, LCMS, NGS
- Expertise in Public Health, such as work experience in state or local DPHs
- Experience in Environmental Health or wastewater systems
- Interest in mentoring or managing other data scientists
Physical Requirements and Special Demands:
- Standing or sitting for several hours at a time
- Listening and speaking clearly on video conferencing for several hours a day
This job is no longer accepting applications
See open jobs at Biobot Analytics.See open jobs similar to "Senior / Staff Data Scientist - Quantitative Epidemiologist" Homebrew.