Data Scientist I - Oracle : Job Details

Job Description

The Data Scientist I, Advanced Methods role is a Commercial Research position contributing to the development of Oracle Life Science's commercial offer, harnessing health databases, healthcare expertise, and knowledge of the commercialization needs of the life sciences industry. The role works directly with Senior/Client Leads, Research to determine the best methods and approaches to answer business questions utilizing real world data sources and primary market research.

What you can expect from working with Oracle Life Sciences

• A passionate and growing quantitative network comprising expertise in advanced methods, behavioral science, electronic health records, and digital methods.

• A stead-fast and growth strategy focused on oncology, rare disease, and specialist healthcare / life-science

• Work within a team (immediate and global) culture of growth-mindset and collaboration, focused on inclusivity, idea sharing and fun

• A development framework, encompassing all levels of the career journey, to enhance knowledge and skills in this ever-evolving industry

Responsibilities:

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Also supports advanced analytics for primary market research.

This position is critical to identifying insights from health data to answer life sciences commercial business questions and improve patient outcomes.

Primary Responsibilities

• Enable development of commercial syndicated and semi-syndicated offers from real world data

• Provide internal and client support and education regarding health data sets

• Support custom commercial business development discussions regarding real world data and participate in the creation of custom commercial proposals

• Support execution and completion of custom projects involving real world data

Technical Responsibilities

• Access, extract, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques to determine data quality and generate meaningful insights

• Contribute to discovery of meaningful insights from the data that relate to important use-cases using scientifically valid techniques

• Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to derive best candidate approaches and models

• Interact with clinical and business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support client clinical and business needs or problems.

• Propose new uses for existing data sets or sources, algorithms, and predictive models

Qualifications

Basic Qualifications

• Education: Masters (Ph.D. preferred) in Mathematics, Statistics, Economics, Information Systems, Information Technologies, Management Information Systems, Computer Sciences, Public Health, or Epidemiology or related area of study

• Minimum of 3+ years industry experience in data science work including data management, transformation, and visualization

• At least 3 years of work experience with SQL, Python, or PySpark

• Proficient in communicating effectively with both technical and nontechnical stakeholders

• Experience building complex data sets from multiple data sources, both internally and externally

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), experience with machine learning

Preferred Qualifications

• At least 1 year of work experience with Cloud technologies, like AWS, Azure, or OCI

• At least 1 year of work experience with Big Data tools, like Databricks, Jupyter Notebooks

• Advanced competency and expertise in Python, Databricks, and other platforms

• Advanced competency with unstructured data and NLP techniques

• Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline

Responsibilities

Primary Responsibilities

• Enable development of commercial syndicated and semi-syndicated offers from real world data

• Provide internal and client support and education regarding health data sets

• Support custom commercial business development discussions regarding real world data and participate in the creation of custom commercial proposals

• Support execution and completion of custom projects involving real world data

Technical Responsibilities

• Access, extract, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques to determine data quality and generate meaningful insights

• Contribute to discovery of meaningful insights from the data that relate to important use-cases using scientifically valid techniques

• Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to derive best candidate approaches and models

• Interact with clinical and business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support client clinical and business needs or problems.

• Propose new uses for existing data sets or sources, algorithms, and predictive models

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 $30.29 to $60.63 per hour; from: $63,000 to $126,100 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:

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

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.