- Expiry Date: 19 August 2021
We are seeking an innovative SAS programmer scientist to join our Clinical Data Utilization (CDU) team in the Knowledge Science Research (KSR) group. This group of computational scientists is responsible for advancing Pharma industry-leading pipeline in multiple therapeutic areas (including Immuno-Oncology, Cardiovascular, Fibrosis and Immunoscience) through the strategic application of cutting-edge bioinformatics approaches. As a contributor in this team, you will integrate data from diverse clinical trial & Biomarker data sources using SAS to prepare analysis-ready datasets for bioinformatics modeling and analyses. You will also automate the generation of these datasets and create powerful exploratory visualizations of this data to detect signals and potential relationships in the clinical & biomarker data. The group interacts with and influences all aspects of R&D at org., from early assets discovery through late-stage development.
Create analysis data sets by integrating data from diverse sources to support formal analysis or exploration of the data by bioinformaticians, clinicians and biomarker scientists.
Partner with clinical teams, bioinformaticians and other scientists to develop powerful clinical safety, efficacy and biomarker visualizations that enhance and accelerate our abilities to understand underlying disease progression, treatment mechanisms, and patient responses and reveal biomarkers that identify patients most likely to gain maximal benefit from treatment.
Collaborate with bioinformaticians, statisticians, biomarker scientists, biologists, and clinicians to identify critical questions that can be explored using visualizations.
Bachelor degree in engineering, computer science, statistics, public health, epidemiology or other scientific discipline required; Master’s degree is preferred.
Five years of SAS programming experience in clinical and biomarker data integration with demonstrated expertise in identifying data issues and detecting signals and relationships in clinical trial data required.
Excellent skills in SAS to integrate and transform data required. SAS certification desired. Experience in python and/or R or other scripting languages a plus.
Evidence of ability to develop and implement sophisticated algorithms for merging and transforming complex data sets required with & through understanding of CDISC (SDTM/ADaM)
Demonstrated ability to prepare visualizations required to appropriately explore scientific clinical, biomarker and other data required.
Demonstrated ability to work independently and manage delivery timelines required.
Spotfire experience desired.
Very strong attention to quality and detail required, as well as the ability to detect data anomalies.
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ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.