Data Scientist

About the role

At Structuretx, we are seeking a talented Data Scientist to join our innovative team in South San Francisco, California. This full-time position is ideal for individuals who are passionate about leveraging data to drive insights and support decision-making processes. As a Data Scientist, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and contribute to the advancement of our projects in the biotechnology sector. Your expertise will play a crucial role in enhancing our understanding of biological systems and improving our product offerings.

Key facts

What you'll do

• Collaborate with biologists, engineers, and product managers to identify key data-driven questions and objectives that align with our strategic goals.
• Analyze large and complex datasets using statistical techniques and machine learning algorithms to extract meaningful insights that inform product development.
• Develop and implement predictive models that can forecast outcomes and trends based on historical data, enhancing our ability to make informed decisions.
• Create data visualizations and dashboards to effectively communicate findings to both technical and non-technical stakeholders, ensuring clarity and actionable insights.
• Conduct experiments and A/B testing to evaluate the impact of different strategies and interventions, providing data-backed recommendations for optimization.
• Participate in the design and execution of data collection processes, ensuring data integrity and quality throughout the lifecycle.
• Stay updated on the latest advancements in data science and machine learning, applying new techniques and methodologies to improve our analytical capabilities.
• Document and present your work, including methodologies, results, and recommendations, to internal teams and external partners, fostering a culture of knowledge sharing.
• Mentor junior data scientists and interns, providing guidance on best practices in data analysis and model development.
• Collaborate with the IT team to ensure the infrastructure supports data storage, processing, and analysis requirements efficiently.
• Engage in continuous improvement initiatives to enhance data processes and workflows, driving efficiency and effectiveness across the organization.
• Contribute to the development of intellectual property by identifying novel data-driven solutions and insights that can be patented or published.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• A minimum of 3 years of experience in data analysis, machine learning, or a related discipline within the biotechnology or pharmaceutical industry.
• Proficiency in programming languages such as Python or R, with a strong understanding of libraries and frameworks for data analysis and machine learning.
• Experience with SQL and database management, enabling efficient data extraction and manipulation.
• Strong analytical skills with the ability to interpret complex data and translate it into actionable insights.
• Excellent communication skills, both written and verbal, with the ability to present technical information to diverse audiences.
• Proven track record of working collaboratively in a team-oriented environment, demonstrating flexibility and adaptability to changing priorities.

Nice to have

• Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure for data storage and processing.
• Experience with data visualization tools like Tableau, Power BI, or similar to create compelling visual narratives.
• Knowledge of bioinformatics or computational biology, providing a deeper understanding of the biological context of data.
• Previous experience in a startup environment, showcasing an ability to thrive in fast-paced and dynamic settings.
• Understanding of regulatory requirements and compliance in the biotechnology industry, ensuring adherence to best practices.

Skills & tools

• Programming languages: Python, R
• Data analysis libraries: Pandas, NumPy, Scikit-learn
• Database management: SQL
• Data visualization: Tableau, Power BI
• Cloud platforms: AWS, Google Cloud, Azure
• Statistical analysis and machine learning techniques

Practical notes

• This position is based in South San Francisco, California, and may require occasional travel for conferences or collaborations.
• Structuretx offers a competitive salary and benefits package, including health insurance, retirement plans, and opportunities for professional development.
• Candidates must be eligible to work in the United States; visa sponsorship is available for qualified individuals.
• Interested applicants are encouraged to apply through our career portal at https://structuretx.bamboohr.com/careers/463.

Join us at Structuretx, where your expertise in data science will help shape the future of biotechnology and contribute to groundbreaking advancements in healthcare. We look forward to welcoming a new member to our dynamic team!