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Predictive Analytics Intern Jobs in Berkeley, CA

Predictive Analytics Intern information

What is the difference between Predictive Analytics Intern vs Data Analyst Intern?

AspectPredictive Analytics InternData Analyst Intern
Required SkillsStatistical analysis, programming (Python, R), data modelingData visualization, SQL, basic statistical skills
Work EnvironmentTech companies, finance, marketing teamsBusiness departments, consulting firms, tech companies
Typical TasksBuilding predictive models, analyzing trends, forecastingData cleaning, reporting, creating dashboards

Predictive Analytics Interns focus on developing models to forecast future outcomes using statistical techniques, while Data Analyst Interns primarily analyze and visualize existing data to support decision-making. Both roles require strong analytical skills but differ in their technical focus and project types.

What are the key skills and qualifications needed to thrive as a Predictive Analytics Intern, and why are they important?

To thrive as a Predictive Analytics Intern, you need a solid background in statistics, data analysis, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with tools like SQL, machine learning libraries (e.g., scikit-learn), and data visualization platforms (such as Tableau or Power BI) is typically expected. Strong problem-solving, attention to detail, and effective communication skills help interns stand out when interpreting and presenting data-driven insights. These competencies are crucial for deriving actionable predictions and supporting business decisions through accurate, well-communicated analyses.

What does a Predictive Analytics Intern do?

A Predictive Analytics Intern assists organizations by analyzing data to forecast future trends and outcomes. They use statistical techniques, machine learning models, and data visualization tools to interpret large datasets and generate actionable insights. Typically, these interns work under the guidance of experienced data scientists or analysts, contributing to projects such as demand forecasting, customer behavior analysis, or risk assessment. Their role also involves cleaning and preparing data, running predictive models, and helping to communicate findings to non-technical stakeholders.

How does a Predictive Analytics Intern typically collaborate with different departments within a company?

As a Predictive Analytics Intern, you will often work closely with teams such as marketing, operations, and IT to gather data, understand business needs, and present analytical findings. Collaboration usually involves attending cross-functional meetings, sharing data-driven insights, and helping stakeholders interpret predictive models for practical decision-making. This role provides valuable exposure to real-world business challenges and helps you develop communication skills that are essential for translating complex analytics into actionable recommendations.
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Summer PhD/MBA Intern - Oncology Market Analysis and Research

Summer PhD/MBA Intern - Oncology Market Analysis and Research

Shennon Biotechnologies

San Francisco, CA • On-site

Full-time, Part-time, Temporary, Internship

Posted 14 days ago


Job description

We are a well-funded biotech company that is redefining drug discovery and development through our fully integrated platform. We combine ultra-high-throughput microfluidics driven functional screening, computational engineering, and translational immunology into a unified engine. Rather than approaching drug development as a series of disconnected steps, we seamlessly integrate the discovery of novel targets, functional screening of binders, computational optimization, and predictive safety assessment to develop more better and safer therapeutics. This end-to-end approach enables faster iteration, deeper biological insight, and the development of better drugs with greater precision and confidence.
We are seeking a Summer Intern who will support project-based analytical work for executive leadership and cross-functional scientific teams. This role will contribute to generating insights related to oncology and autoimmune therapeutics, competitive landscapes, emerging technologies, market opportunities, and broader industry trends that help inform strategic decision-making. The intern will collaborate closely with leadership and scientific teams to contribute to targeted analyses, strategic assessments, and decision-support materials. The ideal candidate has exposure to or a strong interest in biotechnology, business strategy, market research, and understanding how scientific and commercial insights intersect in the development of innovative therapeutics.
We are open to both part-time and full-time candidates. For part-time candidates, we are open to engagement past the summer depending on business needs.
What You'll Gain:
  • Direct exposure to executive-level strategic decision-making within an early-stage biotech company.
  • Hands-on experience evaluating oncology and autoimmune therapeutic landscapes, competitive dynamics, and emerging technologies.
  • The opportunity to work closely with leadership, scientific and business advisors, scientists, and engineers building next-generation immunotherapy platforms.
  • Practical experience at the intersection of biotech strategy, market intelligence, and scientific innovation.
  • Exposure to how early-stage biotech companies evaluate pipeline opportunities, partnerships, platform positioning, and long-term growth strategy.
  • A high-impact internship experience with broad visibility across scientific and business functions.

Responsibilities:
  • Conduct market research and competitive landscape analyses across oncology and autoimmune therapeutic areas.
  • Analyze current standards of care, approved therapeutics, clinical-stage pipelines, emerging treatment modalities and patient population triage, as well as biotech and pharmaceutical company activity, including partnerships, licensing, financings, acquisitions, and clinical milestones.
  • Support strategic assessments of oncology targets, immunology pathways, and emerging technologies.
  • Develop presentations, market maps, executive summaries, and reports for internal and external stakeholders.
  • Help executive team optimize pitch decks for external business conversations.
  • Collaborate cross-functionally with scientific and leadership teams on strategic and market intelligence projects.

Skills and Qualifications:
  • Currently pursuing a PhD/MBA degree, with a focus in healthcare and/or biotechnology. Ideally someone with a PhD in immuno-oncology who is interested in business and has some business training.
  • Background in life sciences, biology, biochemistry, biomedical engineering, pharmacy, or a related field.
  • Strong interest in biotechnology, therapeutics, healthcare innovation, and market strategy.
  • 2+ years experience working at a biotech or pharmaceutical company.
  • Familiarity with oncology and/or immunology concepts is highly desirable.
  • Demonstrated ability to interpret scientific literature, clinical trial data, and industry reports and synthesize information into actionable business insights.
  • Strong analytical, problem-solving, and research skills.
  • Excellent written, verbal, and presentation communication skills.
  • Ability to work in a fast-paced startup environment, take initiative, and drive projects independently.
  • Proficiency with PowerPoint, Excel, market research tools/databases. Familiarity with using AI tools to accelerate research is appreciated, but depth in original research is required.

Compensation:
  • Compensation will be determined based on experience and market benchmarks

Benefits:
  • Daily lunches; Unlimited snacks and drinks.
    • Commuter Benefits.
    • Hands-on exposure to biotech strategy, oncology therapeutics, and executive-level decision making