We want the revolutionaries, the committed collaborators, the bold challengers, the I-can-do-it-ers. Because those are the kind of people who are best able to make an impact for people with cancer. So, what’s missing? Just someone like you.

Gilead Sciences, Inc. is a research-based biopharmaceutical company founded in 1987. Together we deliver life-saving therapies to patients in need. With the commitment and drive you bring to the workplace every day, you will be part of a team that is changing the world and helping millions of people live healthier, more fulfilling lives.

Management/Leadership Experience:

• Experienced in building top performing data engineer team(s) and the ability to link analytical needs to business impact.
• Has in-depth knowledge of Good Clinical Practices and the ability to implement a high level of compliance to data procedures.
• Manages a group, which requires setting of direction for that group’s expertise.
• Acts as a consultant to the Business stakeholders in his/her area. Liaises with Business Development.
• Assigns objectives for team.
• Assesses and analyzes business requirements and recommends solution and plan.
• Supports a regulated function of the department, understands and performs validation efforts in accordance with legal requirements.  
• Liaises with Business Development to schedule changes and updates for data engineering applications.
• Manages specific projects under direction from Senior Management.
• Contributes to the development of data engineering strategy. Acts as technical spokesperson on area of expertise.
• Conducts professional appraisals for team members and effectively manages performance.
• Will be given the autonomy and freedom to use his/her skills to run their own group, and to contribute to the wider business group.
• Self-starter that is excited about building new processes and developing people towards their goals in support of Gilead mission and vision.
• Implements strategic initiatives.
• Excellent verbal and written communication skills and interpersonal skills are required.
• Has the ability to resolve conflicts.
• Can create buy-in and support and has the ability to negotiate timelines.
• Successfully interacts within Clinical Data Science, with cross functional stakeholders on a frequent basis.
• Viewed as a key resource by more senior individuals on initiatives and may represent the Company on contracts.
• Inform functional management about RWE tool development process, progress and resourcing as required for the project or initiative.
• Recommends and provides trainings.
• Serves as project leader.
• Participates in cross-functional meetings as a representative of RWx.

​Real World Evidence and Technology Skills:

• Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault tolerant, globally accessible services at scale.
• Possesses a deep understanding of data science methodologies and concepts.
• Demonstrates a high degree of originality and creativity when developing solutions to improve existing business processes within the organization by utilizing methods such as data preparation, data cleansing and data integration.
• Experience building data driven applications.
• Possesses a familiarity with data models such as HL7/FHIR and OMOP CDM, SDTM and ADaM.
• Enable data pipes for enterprise data warehouse and model the data.
• Provide technical/programming expertise to support RWD studies.
• Contributes to the continuous improvement of data engineering across the enterprise by researching industry best practices for analytics.
• Has an understanding of clinical trials design and reporting process, as well as regulatory reporting requirements.
• Established or willing to be the point of contact and expert for Gilead in organizations such as OHDSI, EHDEN and PhUSE as it relates to RWE.
• Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Python.
• Experience with event-driven architecture design patterns and practices
• Experience in database design and architecture principles and strong SQL abilities
• Understanding of Data warehousing/Data Modeling/Data Lake with Redshift and Athena.
• Experience with Hadoop, Hive, ECS, Glue and PySpark.

Typical Education and Training:

• 12+ years of experience and a BS degree in Biostatistics/Computer Science or equivalent.
• 10+ years of experience and a MS degree in Biostatistics/Computer Science or equivalent.

We offer a competitive salary and benefits package.  Apply today at Gilead and Kite | Jobs and Careers (yello.co)