Job details
Job type full-time
Full job description
Company description
Why mmit? at mmit (https://www.mmitnetwork.com/), we provide our healthcare clients with a transparent, structured view of complex drug coverage informationWe are a company that values:
Collaborative teams focused on meeting goals and delivering value
Continuous learning and opportunity to grow
We answer the “what” and the “why” related to drug coverage and reimbursement, leveraging technology, research and industry experts to make sense of how and why specific pharmaceutical drugs are coveredPhysicians and pharmacies use our data and applications to understand what drugs are available to patients and how they are covered by health plansPharmaceutical manufacturers trust our data to understand how their drug and competitive drugs are covered, which helps forecast performance and tune strategy.
Job description
The srDia & bridging data scientist supports our payer clients by helping surface market access data in a meaningful wayThey are responsible for helping to build payer bridging services within mmitThey must have a strong understanding of client data requirements and develop technical specifications that meet those requirementsThis key team member owns qa and ensures results meet business needs and provides consultative services to clients related to mmit data and our data feed product.
To succeed in this role, you will:
Bridge claims data and coverage data – refine existing rules and create and continually improve new methods for accurately assigning pharmacy and medical claims volumes to mmit controller entities.
Apply data science to the creation of short and long form geographic market and controller entity descriptive narratives (nlp / nlg)
Translate product management strategy into actionable data science deliverables, guiding development of data models, business rules and other advanced analytical capabilities.
Work collaboratively with mmit internal teams to develop and commercialize use cases for this new product area.
Build reports, dashboards and/or other analyses as needed and/or as specific initiatives arise.
Support various commercial or commercialization efforts as needed.
Define customized technical specifications to surface custom data in mmit tools.
Produce complex analytical reports using data visualization tools such as power bi or tableau
Analyze complex data sets to answer specific questions using mmit’s market access data
Collaborate with client, client success manager, and business analyst to understand each client`s business questions
Communicate with internal teams to obtain required data
Provide consultative services to clients related to mmit data/data feeds
Execute work in a timely fashion with high accuracy, while managing various competing priorities
Perform thorough troubleshooting and execute qa with tenacity.
Ensure adherence to documentation requirements, process workflows, timelines, and escalation protocols
Provide level 2 support for custom feeds.
Train/coach other team members.
Act as sme for ccf’s and standard data needs to educate and advise clients on how to optimally use mmit’s data to support their business needs and address complex questions about market access.
Work on analytics improvement projects to improve process timelines and efficiency.
Qualifications
Bachelor’s degree or relevant experience required.
3-5 yrsOf professional experience.
Fundamental understanding of pharma and market access space.
Strong analysis skills and proficiency with tools such as tableau or powerbi.
Excellent written and verbal communication skills.
Analytical, critical thinking and creative problem-solving skills.
Relationship building skills.
Solid organizational skills including attention to detail and multitasking skills.
Excellent time management and prioritization skills.
Additional information
Position will be based in livingston nj or yardley pa (highly qualified remote applicants will be considered)- approx 20% travel
