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Internship Flow Control Jobs in California (NOW HIRING)

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Internship Flow Control information

What is the difference between Internship Flow Control vs Internship Quality Assurance?

AspectInternship Flow ControlInternship Quality Assurance
Primary FocusManaging and coordinating workflow processes during internshipsEnsuring quality standards and compliance in internship programs
Required SkillsProcess management, communication, organizational skillsAttention to detail, analytical skills, knowledge of quality standards
Work EnvironmentOperational settings, project teamsQuality departments, training teams
Industry UsageCommon in manufacturing, IT, and corporate sectors

Internship Flow Control focuses on managing the workflow and processes during internships, ensuring smooth operations. In contrast, Internship Quality Assurance emphasizes maintaining quality standards and compliance. Both roles support internship programs but differ in their core responsibilities and skill requirements.

What are the most commonly searched types of Flow Control jobs in California? The most popular types of Flow Control jobs in California are:
What are popular job titles related to Internship Flow Control jobs in California? For Internship Flow Control jobs in California, the most frequently searched job titles are:
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Internship Flow Control jobs near you

Associate Scientist, Display Technologies

BigHat Biosciences

San Mateo, CA

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

The role: BigHat Biosciences is seeking a curious and motivated Associate Scientist to join the Display Technologies team. This individual will contribute to BigHat's antibody discovery and engineering efforts and help generate high-quality data to improve BigHat's machine learning models using display technologies, working closely with senior scientists and cross-functional teams.
*At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate. 
  • Support R&D projects advancing display technologies at BigHat that expands BigHat's antibody discovery capabilities and feed its ML models.
  • Lead in the construction and QC of phage and yeast display libraries across diverse antibody formats (VHH, scFv, Fab) using standard molecular biology techniques (PCR, molecular cloning, electroporation).
  • Execute phage and yeast display selections using naive and affinity and stability maturation libraries to discover and engineer antibodies with desired therapeutic properties.
  • Express, purify, and characterize display-derived molecules using assays including ELISA, flow cytometry, BLI/SPR, CE-SDS, and others.
  • Analyze selection results and contribute to discussions on next steps and future experimental design.
  • Collaborate with BigHat's Data Science and Machine Learning teams to inform library design and interpret selection data for model training.
  • Present experimental plans and results during regular meetings with manager and science teams.
  • Maintain thorough records using LIMS and electronic notebooks.
  • BS or MS in Biochemistry, Molecular Biology, Bioengineering, or a related field.
  • 4+ years of hands-on laboratory experience (academic or industry); relevant internship or research experience welcome.
  • Familiarity with general molecular biology techniques (PCR, molecular cloning, gel electrophoresis).
  • Exposure to antibody biology, display technologies (phage or yeast), and protein expression.
  • Demonstrated ability to follow protocols carefully, troubleshoot experiments, and maintain detailed lab records.
  • Effective time management and clear written and verbal communication skills.
  • Collaborative, team-oriented mindset with an eagerness to learn in a fast-paced startup environment.
  • Nice-to-haves include experience with flow cytometry, ELISA, or other binding assays, and familiarity with NGS or automation platforms.
The salary estimated for this position is $120,000 - $135,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
What BigHat Offers:
  • Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
  • Dental, and vision coverage through Guardian
  • Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
  • 401(k) with company match 
  • DTO, two weeks of company-wide shutdown, and 12 company holidays
  • Paid parental leave

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