The Career Field Resource pages describe the more common fields that employ scientists with advanced training, with a short list of websites which will help you understand the field. Each section has:
- at least one or two articles to provide an overview of the field or career paths;
- resources specific to Berkeley (access to opportunities you can pursue while a student or postdoc);
- more general sources of information including professional associations, sites with industry news and career advice, and fellowship/job listings.
Data Analytics
Data scientists generally have a research-based career in government, industry or for nonprofits – for example working in technology or healthcare organizations. For most roles, it is helpful to have both technical skills and an understanding of the business or industry problems that you might solve.
Berkeley Resources
- Graduate Data Science Organization
- Data Science By Design a “community of practice to curate ideas about data narratives, innovative communication approaches and aesthetic visual design principles”
- D-Lab – offers various resources for honing programming and data analysis skills.
- Berkeley Career Engagement – attend events, such as “Data Science Career Connections” and the annual Engineering/Tech Career Conference. Make use of resources such as Handshake which has job and internship postings, and career fair information.
- Berkeley’s ISchool has an overview, “What is Data Science” and “Careers in Data Science“; and “What is Data Analytics“
General Resources
- Nature has several articles, “From Doctorate to Data Science: A very short guide,” and ‘So You Want to Be A Data Scientist (Again): Put your natural science skills to work in a data science career”
- Towards Data Science – informative articles, including one which discusses important skills and competencies for data scientists and another with career advice, “45 Ways to Activate Your Data Science Careers”
- University of Chicago offers an overview “industry guide” (PDF)
- Academic Data Science Alliance
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NIH’s OITE article, “Considering a Career in Biomedical Data Science? What you need to Consider” and “Career Options Series: Bioinformatics”
- NIH Data Science Workforce Development Center
- Insight Data Science Fellows Program
- Data Incubator Data Science Fellowship
- Data Science Association
- West Big Data Hub – aims to “build and strengthen partnerships across industry, academia, nonprofits, and government to address societal and scientific challenges, spur economic development, and foster a national big data ecosystem”
- Data Jobs – job boards and information about the field
- Data Science Central – resources for machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals
- Women in Data Science (WiDS) – “aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field”