Life Sciences Data Analyst Oncology

Oracle Life Sciences seeks a Data Analyst to join our oncology team. This role will work closely with survey data and other complex datasets and contribute to high-quality deliverables that support oncology market insights and strategic decision-making.

We are looking for someone who is highly organized, detail-oriented, curious, and motivated to learn. This person will support the team by becoming familiar with our physician surveys and how our oncology datasets are structured, helping input key data points into models and deliverables, and performing careful quality control to ensure outputs accurately reflect source datasets.

This role requires strong execution, flexibility, and a team-first mindset. The successful candidate will enjoy working collaboratively, take pride in completing tasks thoroughly, and help create consistency, efficiency, and trust across team workflows.

Qualifications & Experience

• Bachelor’s degree in a scientific field, life sciences, public health, data analytics, mathematics, or a related discipline

• Experience in the oncology domain, including healthcare or life sciences data

• Experience working with epidemiology datasets

• Excellent attention to detail and commitment to data accuracy

• Strong organizational skills, with the ability to manage multiple tasks and deadlines

• High proficiency and comfort working in Microsoft PowerPoint and Microsoft Excel

Nice-to-Have Skills

 

• Advanced Microsoft Excel skills

• Familiarity with SQL

• Experience with Tableau or other data visualization tools

• Exposure to Python or other coding tools

• Familiarity with Codex or AI-assisted coding/workflow tools

• Prior experience working with structured datasets, data QC, research deliverables, or analytics projects

Key Traits for Success

• Curiosity and drive to learn

• Strong attention to detail

• High level of organization

• Creative problem solving

• Desire to create efficiency and consistency

• Strong follow-through, accountability, and pride in completing work thoroughly

• Flexible, adaptable, and able to pivot as priorities change

• Collaborative team player who enjoys working in a trust-based, execution-focused team environment

Why Oracle Life Sciences?

Join a collaborative oncology team where your work will contribute to high-quality data, analytics, and deliverables used to support important oncology business decisions. This role offers mentorship, hands-on learning, and the opportunity to build foundational expertise in oncology, data organization, quality control, and life sciences analytics while contributing to a team that values trust, execution, and support.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from $31.83 to $63.65 per hour; from: $66,200 to $132,400 per annum. May be eligible for bonus and equity.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC2

Key Responsibilities

Data Management, QC, & Deliverable Support

• Become familiar with the structure, organization, and use of internal oncology surveys and datasets

• Support the input of key data points into models, trackers, PowerPoint deliverables, Excel-based tools, and related team outputs

• Compare deliverables, models, and analytic outputs against original datasets to ensure accuracy, consistency, and completeness

• Conduct detailed quality control checks to identify discrepancies, missing information, formatting issues, or inconsistencies

• Help maintain organized files, version control, and documentation across workstreams

• Ensure assigned tasks are completed thoroughly and on time, with minimal loose ends

Team Collaboration & Learning

• Collaborate with team members to troubleshoot data questions, resolve inconsistencies, and support high-quality execution

• Develop foundational knowledge of oncology, oncology datasets, and team deliverables through hands-on work and mentorship

• Work closely with team members to understand project goals, dataset structures, and quality expectations

• Contribute to a team culture built on trust, accountability, collaboration, and strong execution

• Bring curiosity, creative problem solving, and a willingness to learn new tools, processes, and therapeutic area concepts