What are the responsibilities and job description for the Sr. RWE Data Scientist position at Resource Logistics?
Client Oncology Sr. RWE Data Scientist
Location : Gaithersburg, 2 days remote, 3 days in the office
12 month contract with extension and FTE conversion possible based on performance and business needs.
Do you have expertise in, and passion for Medical Affairs in Oncology? Would you like to apply your expertise to impact the Associate Director / Sr. RWE Data Scientist role in a company that follows the science and turns ideas into life changing medicines? Then
Client might be the one for you!
At Client, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you're our kind of person.
Client's vision in Oncology is to help patients by redefining the cancer-treatment paradigm, with the aim of bringing six new cancer medicines to patients between 2013 and 2020. A broad pipeline of next generation medicines is focused principally on four disease areas - breast, ovarian, lung and hematological cancers. As well as other tumor types, these are being targeted through five key platforms -immunotherapy, the genetic drivers of cancer and resistance, DNA damage repair,
HER2 and antibody drug conjugates, underpinned by personalized healthcare and biomarker technologies.
The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in a range of contexts including Public Health, Pharmaceutical ReseClienth and Development and Commercial / Payer.
They will collaborate with colleagues in Epidemiology, Statistics and Payer, giving scientific and technical guidance on study design, RW data selection and best practice in RW data utilization.
In addition, they will assist in advancing and shaping Client's Real World Science data strategy through the due diligence on new data providers / vendors, informatics support for data acquisitions in a range of Therapeutic Areas.
The role will promote best practice in Real World Data Science across multiple domains, and / or stakeholder groups.
Typical Accountabilities :
- Collaborate with Payer and Epidemiology teams to maximise the value derived from large
observational reseClienth data
RWE strategies
prioritised markets through analysis of RWD
reseClienth data to address issues across the Oncology and Biopharmaceuticals business units
observational study teams on study design, data partner selection and best practices in RWE data utilization
geographic and healthcare system sources to support evidence generation and real-world
studies
especially for US and emerging markets.
Education, Qualifications, Skills and Experience :
Essential :
other training / work in Medical / Health Informatics or related field.
studies
R / Matlab / SAS / SQL / Hadoop / Python. R is strongly preffered, and SAS a plus.
data
Desirable :
in healthcare data and ontologies (ICD9 / 10 / ReadCode)
advancing approaches with data science
routinely collected healthcare data
allows the candidate to bring medical perspective into real-world evidence generation and
observational studies
understand relevant scientific / business challenges at a deep level and translate into a
programme of informatics activities to deliver defined value
Real World Data
HM pointed out the following is important to her :
Team size : Direct team : 7
Large team : 15
Interviewing :
Screening interview first, then programming test, followed by panel interview.
