SRA 1

UCSF Health, AG

San Francisco (CA)

In loco

USD 60.000 - 85.000

Tempo pieno

14 giorni+
Generatore di candidature

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Descrizione del lavoro

UCSF Health is seeking an SRA I to support our Chou research group in evaluating mechanisms of sensitivity and resistance to ADCs and CAR T-cell therapies. You will validate findings, perform functional tests, and provide bioinformatics support for sequencing data.

The role involves working with innovative models and advanced sequencing, contributing to data analysis, and assisting with cloning and validation workflows in a collaborative lab environment.

Competenze

  • BA/BS in Biology or related field and in Computational Biology/Computer Science with biology applications
  • Experience in R Studio and/or Python to analyze single-cell RNA sequencing, bulk RNA sequencing, and whole-exome sequencing data
  • Experience in molecular biology techniques such as sgRNA cloning and sequencing, gel purification, miniprep, and expression of lentiviruses using HEK293T/LentiX cells
  • Experience in lentiviral generation, transduction, and validation techniques such as qPCR and/or flow cytometry
  • Experience with Incucyte to monitor cell growth
  • Awareness of different types of clinical research studies
  • Willingness and ability to learn new methods and skills
  • Ability to work independently and as a member of a research team
  • Ability to demonstrate interpersonal communication skills
  • Ability to demonstrate organizational skills; ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines
  • Ability to perform simple mathematical calculations
  • Preferred: experience in wet lab and computational biology

Mansioni

  • 40%: Assists with bioinformatics analyses of transcriptomic and whole-exome sequencing data
  • 35%: Assists with sgRNA cloning to validate prior genetic screens, including ordering oligonucleotides, transforming bacteria with sgRNA constructs, and confirming sequences by Sanger sequencing
  • 15%: Performs validation of transcriptomic data using quantitative PCR (qPCR)
  • 10%: Performs other related laboratory duties as assigned

Conoscenze

Bioinformatics
Python
R Studio
RNA-seq analysis
Single-cell sequencing
qPCR
Flow cytometry
Independent work
Team collaboration
Organizational skills

Formazione

Biology degree
Computational Biology/CS with biology focus

Strumenti

HEK293T/LentiX

Descrizione del lavoro

As an SRA I, you will play a vital role in Dr. Chou's research group, which focuses on evaluating the mechanisms of sensitivity and resistance to antibody drug conjugates (ADCs) and CAR T-cell therapies. The group has developed innovative experimental models and utilizes advanced sequencing techniques. Your primary responsibilities will involve validating research findings, conducting functional tests, and providing bioinformatics support.

  • 40%: Assists with bioinformatics analyses of transcriptomic and whole-exome sequencing data.
  • 35%: Assists with sgRNA cloning to validate prior genetic screens, including ordering oligonucleotides, transforming bacteria with sgRNA constructs, and confirming sequences through Sanger sequencing.
  • 15%: Performs validation of transcriptomic data using quantitative PCR (qPCR).
  • 10%: Performs other related laboratory duties and responsibilities as assigned.
Required Qualifications
  • BA/BS in Biology or related as well as in Computational Biology/Computer Science with biology applications
  • Experience in R Studio and/or Python to analyze single-cell RNA sequencing, bulk RNA sequencing, and whole-exome sequencing data
  • Experience in molecular biology techniques such as sgRNA cloning and sequencing, gel purification, miniprep, and expression of lentiviruses using HEK293T/LentiX cells
  • Experience in lentiviral generation, transduction, and validation techniques such as qPCR and/or flow cytometry
  • Experience with Incucyte to monitor cell growth
  • Awareness of different types of clinical research studies
  • Willingness and ability to learn new methods and skills
  • Ability to work independently and as a member of a research team
  • Ability to demonstrate interpersonal communication skills
  • Ability to demonstrate organizational skills; ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines
  • Ability to perform simple mathematical calculations
Preferred Qualifications
  • Prior experience with working in a wet lab and with computational biology experience
Required Qualifications
  • BA/BS in Biology or related as well as in Computational Biology/Computer Science with biology applications
  • Experience in R Studio and/or Python to analyze single-cell RNA sequencing, bulk RNA sequencing, and whole-exome sequencing data
  • Experience in molecular biology techniques such as sgRNA cloning and sequencing, gel purification, miniprep, and expression of lentiviruses using HEK293T/LentiX cells
  • Experience in lentiviral generation, transduction, and validation techniques such as qPCR and/or flow cytometry
  • Experience with Incucyte to monitor cell growth
  • Awareness of different types of clinical research studies
  • Willingness and ability to learn new methods and skills
  • Ability to work independently and as a member of a research team
  • Ability to demonstrate interpersonal communication skills
  • Ability to demonstrate organizational skills; ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines
  • Ability to perform simple mathematical calculations
Preferred Qualifications
  • Prior experience with working in a wet lab and with computational biology experience
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