As a data analytics engineer you will be responsible for streamlining our usage of oncology real world and clinical data through the development of processes and tools that enable our data science teams to drive innovation. You will join a cross-functional team of science, data and technology guides, and help shape our data centricity vision, bringing in your innovative ideas and novel approaches to rethink the way we lead, treat, and handle data. You will use your understanding of current data gaps to improve/automate our dataflow, set up standards, tools and workflows, working hand in hand with scientists, and data product development teams.
Responsibilities
Develop and maintain analytics R packages that streamline patient cohort creation and outcomes analysis.
Develop logic and write queries to extract specific data elements from licensed Real-World Data and clinical trial datasets (from both STDM/ADAM); work together with Data Engineering team to develop and implement automated data extraction pipelines.
Perform data cleaning and validation tasks to ensure data quality and consistency and work with portfolio-facing data scientists to support data wrangling to meet specific analysis needs.
Essential requirements
PhD with 5+ years of relevant experience or Master's degree with 8+ years of relevant experience in a related field (e.g., Bioinformatics, Analytics, Computer Science).
Extensive experience with R and proven track record of developing and maintaining R packages.
Experience working with SDTM and ADAM data formats as well as oncology real world datasets (e.g., Flatiron, Tempus, SEER, Optum).
Deep expertise in common SQL dialects (e.g., Postgres, Spark) and proficiency with other data querying languages.
Excellent data manipulation and analysis skills.
Experience with working in matrix organizations and leading cross-team projects involving multiple stakeholders.
Desirable requirements
Contributions to open-source analytics packages.
Experience with development and maintenance of Python packages.
Experience with data management tools and platforms.
Experience in project management, coordination of mid-size cross-functional teams.
Experience with common biomedical vocabularies (OMOP, Gene Ontology, NCI Thesaurus, ISA-Tab, MeSH, Human Disease Onotolgy, BAO, EFO, Human Phenotype Ontology, others), ontology repositories (NCBO Bioportal, EBI OLS) and common reference databases (e.g. Uniprot, Ensembl, CHEMBL, EntrezGene,ClinicalTrials.gov).
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZeneca, we are driven by a shared vision to eliminate cancer as a cause of death. Our Oncology R&D team is a place of courage, curiosity, and collaboration, where you will be empowered to make bold decisions and take smart risks. Our scale, agility, and passion ensure that we deliver fast, every time. We are pioneers in collaborative research, uniting some of the world's foremost medical centers to expedite research in some of the hardest-to-treat cancers. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward, fusing cutting-edge science with the latest technology to achieve breakthroughs. Here, you will have the opportunity to build a rewarding and meaningful career, improving the lives of millions with cancer.
Are you ready to follow the science and pioneer new frontiers? Apply now and join us in our mission to change lives with every breath.
The annual base pay (or hourly rate of compensation) for this position ranges from $135,376 to $203,065. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
