Data Science Lead
Company: Reify Health
Location: Boston
Posted on: May 16, 2022
Job Description:
Job DescriptionAbout UsReify Health is paving the way to faster,
predictable, and more accessible clinical trials. Through its
business entities, StudyTeam and Care Access, the company provides
best-in-class trial optimization software and transformative
clinical trial infrastructure that delivers research directly to
more healthcare providers, communities, and patients wherever they
are. Through partnerships with top biopharma companies, thousands
of research clinics worldwide, and leading healthcare & community
organizations, Reify Health is helping bring new medicines to
patients faster, one trial at a time.Our unique, rapidly growing
data streams are enabling unique opportunities to manage clinical
trials more efficiently and predictably. The Data Science &
Analytics division is looking for a talented Data Science Lead who
can help us understand and predict patterns to help research sites
and their sponsors plan and manage clinical trials more
effectively. If you are empathetic, business-driven, and want to
use your data science skills to make a tangible impact in the
clinical research community then this may be the role for you.As a
Data Science Lead at a fast-growing company, we're looking for
people who can effectively balance rapid execution and delivery
with innovative data exploration to serve the business most
effectively. You have strong opinions, weakly held, and while
well-versed technically and mathematically, know when to choose the
right technique, for the right job, at the right level of
complexity. You will work closely with our other Data, Product,
Engineering, and Design groups to help turn targeted R&D around
modeling patient, site, sponsor, and clinical logistics behaviors
into solutions that can be used to practical benefit.What You'll Be
Working On
- Exploring rich historical data from sites, sponsors, and other
stakeholders and using it to develop models to help our sponsors
make more effective study planning, logistics, and and enrollment
management decisions as early as possible
- Working with our Data Products division to turn your team's
insights and models into enterprise-ready recommendation systems
and other intelligent features for our users
- Ensuring your team develops clean, reusable, and testable code
and make use of existing data team libraries and modules.
- Supporting ways to make protocol feasibility assessments more
efficient for novel studies
- Becoming intimately familiar with HIPAA, GDPR, and other
applicable regulatory and privacy frameworks and how they influence
our analytical and model development decisions
- Regularly communicating your efforts to the Director of
Analytics, Head of Data, and other technical/non-technical
stakeholders in clear written, verbal, or presentation form
- Living our data philosophy, which focuses on ethical decision
making, being aware of how biased data (and assumptions) can affect
results (and, more importantly, people), and being laser-focused on
business needsWhat You Bring to Reify Health
- Minimum of 4 years in a data science-related leadership role
with a successful track record of team execution at a growing
company, ideally in a space similar to ours.
- Demonstrated experience in Agile methodologies and ability to
translate business goals into discrete, tactical execution plans
while adapting to evolving technical and business constraints.
- Expertise in several techniques such as (but not limited to):
Bayesian statistics and modeling, linear/nonlinear regression,
linear optimization, mixed integer programming,
supervised/unsupervised learning, expert systems, network analysis,
and neural networks
- Deeply understands not only how to use a technique but why it
is or is not appropriate in a given situation, with available data,
and for specific business needs
- Familiarity (or ability to become familiar) with
privacy-preserving or identity protecting techniques and ways to
discern bias in models that may impact recommendations regarding
diverse and underserved populations
- Expertise in Python and/or R (Clojure welcome too!), and deep
familiarity with corresponding analytics, visualization, and data
processing libraries
- Capable SQL skills and ability to navigate and work with data
from a variety of internal and external databases (e.g. Postgres),
APIs, and management systems
- Understanding of the nuances of testing models and addressing
scalability/accuracy of analytical processes in probabilistic
systems
- Advanced degree in computer science, data science, mathematics,
statistics, or other related field
- Relevant published or publicized professional or academic work
such as open-source contributions, blog posts, or publicationsWe
value diversity and believe the unique contributions each of us
brings drives our success. We do not discriminate on the basis of
race, religion, color, national origin, gender, sexual orientation,
age, marital status, veteran status, or disability status.Note: We
are unable to sponsor work visas at this time. For a detailed
overview of Reify Health's privacy policy, please visit
www.reifyhealth.com/privacy-policy.
Keywords: Reify Health, Boston , Data Science Lead, Other , Boston, Massachusetts
Didn't find what you're looking for? Search again!
Loading more jobs...