招聘
The Director of Scientific Analytics will be responsible for overseeing and leading a team of 50+ employees focused on advanced scientific analytics across Research Services (RS), including Real-World Data (RWD) analytics, Biostatistics, Advanced Commercial Analytics and other related analyses to support all domains. This role requires a strategic leader with strong expertise in analytic methodologies, research design, and the ability to drive scalable solutions for analyzing complex data. The Director will ensure the alignment of analytics capabilities with business goals and will lead a team of highly skilled data scientists and biostatisticians to deliver actionable insights and evidence for both internal and external stakeholders.
Skills & Qualifications:
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A minimum of 10 years of experience in pharmaceutical or CRO consultation, leading and scaling teams of scientific analytics, with expertise in RWD, biostatistics, or other relevant domains.
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Spans multiple therapeutic areas of expertise with proven track record in pharma deliverables and extensive life science consultative experience.
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Proven track record of leadership in a data science or biostatistics function, including managing teams of analytics professionals.
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Strong expertise in analytics tools, software, and statistical modeling techniques.
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Deep understanding of research methodologies, especially clinical research, epidemiology, and real-world evidence.
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Experience working with cross-functional teams in a fast-paced, results-oriented environment.
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Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
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PhD or advanced degree in biostatistics, epidemiology, data science, or related field is preferred.
Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.
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
- M4
Key Responsibilities:
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Strategic Leadership: Provide leadership and vision to the Scientific Analytics function, ensuring that analytics capabilities are aligned with both current and future business goals. Define and drive the analytics strategy for RWD, biostatistics, commercial support Research Services.
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Tech Innovation: Lead the adoption of innovative technologies and methodologies in the analytics space, focusing on real-world data, statistical modeling, and predictive analytics. Partner with other departments, such as AI Tech and Data Management, to incorporate new tools and improve analytics capabilities.
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Team Development & Management: Build and lead a diverse team of data scientists, biostatisticians, and analytics professionals. Foster a collaborative and results-driven environment to support the development of advanced analytics solutions. Provide mentorship, coaching, and professional development to team members.
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Collaboration & Cross-functional Engagement:
Collaborate closely with internal and external stakeholders, including client-facing teams, to ensure analytics deliverables meet client needs. Establish strong partnerships with departments such as Clinical Research, Biostatistics, and Data Management.
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Data-Driven Insights: Drive the development and delivery of data-driven insights that support decision-making, feasibility assessments, and research initiatives. Ensure the quality, integrity, and transparency of all analytical work.
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Regulatory Compliance & Standards: Ensure all analytics activities meet regulatory standards, including ethical and privacy guidelines. Uphold the highest standards of scientific integrity and rigor in all analyses.
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Span of control: 50+
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关于Oracle

Oracle
PublicCloud applications and platform services.
140,000+
员工数
Austin
总部位置
$300B
企业估值
评价
3.5
10条评价
工作生活平衡
2.8
薪酬
4.0
企业文化
3.2
职业发展
2.5
管理层
2.3
62%
推荐给朋友
优点
Good compensation and benefits
Supportive team culture and colleagues
Flexible work arrangements
缺点
Poor management and leadership
Work-life balance challenges
Limited career advancement opportunities
薪资范围
31,728个数据点
Mid/L4
Mid/L4 · Data Scientist
1,420份报告
$208,729
年薪总额
基本工资
$167,789
股票
$26,812
奖金
$14,128
$147,591
$302,244
面试经验
8次面试
难度
3.1
/ 5
时长
14-28周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Final Interview
5
Offer Decision
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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