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Illumina
Illumina

Unlocking the power of the genome.

Computational and/or Experimental Hybrid Scientist – Foster City, CA (SF Bay Area)

职能机器学习
级别中级
地点US - Bay Area - Foster City
方式现场办公
类型全职
发布1周前
立即申请

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Our Exceptional Multi-disciplinary Team Is Unlocking The Power Of The Genome

Hundreds of millions of human genomes and exomes are expected to be sequenced over the next decade, driven by steady innovations in sequencing technologies pioneered by Illumina. The enormous quantities of genomic data being generated by Illumina in collaboration with our partners worldwide represents a major opportunity to develop novel data-driven and artificial intelligence methods to extract clinically actionable information from the genome, and apply it towards improving human health.

Illumina is currently seeking a highly motivated and talented Senior Experimental Scientist / Hybrid Bioinformatics Scientist who possesses both experimental and computational skills, to lead development of high throughput assays consisting of millions of single cells, and perform computational analysis of the data generated from these experiments in combination with other large scale genomics and genetics datasets.

Illumina’s leading role in data generation enables us to pursue a unique genetics and genomics-first approach to discovery, with a multidisciplinary team of dedicated experimental and computational scientists working collaboratively. The Senior Experimental Scientist / Hybrid Bioinformatics Scientist will design, plan, and execute experiments in the laboratory in support of basic research and technology development around high-throughput single cell genomics assays. This role also includes computational analysis of the data generated from these experiments. The successful candidate is expected to demonstrate a record of innovative research and technology development as evidenced by a strong publications.

Education requirements

  • Ph.D in molecular biology, computational biology, bioengineering, or similar degree.

  • Senior:

Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience ($113,300 - $169,900)

  • Staff:

Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of experience; or equivalent experience. ($135,400 - $203,200)

  • Sr. Staff:

Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or a PhD with 6 years of experience; or equivalent experience. ($162,600 - $244,000)

Required Experience and Skills

  • On the wet lab side: extensive expertise with experimental methods utilizing a diverse range of molecular biology techniques, including single cell assays and CRISPR, and experience with technology development for high throughput sequencing assays.

  • On the computational side: expertise in computational analysis in functional genomics and single cell genomics.

  • Strong record of technical proficiency, innovation, and scientific rigor as demonstrated by publication in high-quality scientific journals.

Roles and Responsibilities of the Position

  • Design, develop and validate high throughput single cell assays consisting of millions of cells for next-generation biological discovery.

  • Work closely with academic and clinical collaborators to integrate data and analyses from high throughput sequencing assays to develop new biological hypotheses.

  • Present results at scientific meetings and publish in peer-reviewed scientific journals.

  • The role is based at the Illumina Foster City campus, our purpose-built facility centrally located in the San Francisco Bay Area, between San Francisco and Silicon Valley.

The estimated base salary range for the Computational and/or Experimental Hybrid Scientist – Foster City, CA (SF Bay Area) role based in the United States of America is: $113,300 - $169,900. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long‑term growth in the role. Most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.

We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

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关于Illumina

Illumina

Illumina

Public

Unlocking the power of the genome.

5,001-10,000

员工数

San Diego

总部位置

$36.0B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

2.8

薪酬

4.1

企业文化

4.2

职业发展

3.4

管理层

3.5

72%

推荐率

优点

Supportive team and colleagues

Good benefits and competitive salary

Innovative projects and cutting-edge technology

缺点

High workload and expectations

Long hours and overtime

Limited career advancement

薪资范围

411个数据点

Junior/L3

L6

Mid/L4

Senior/L5

Staff/L6

L3

L5

Junior/L3 · Data Scientist P1

0份报告

$159,633

年薪总额

基本工资

-

股票

-

奖金

-

$135,688

$183,578

面试评价

5条评价

难度

3.2

/ 5

时长

14-28周

面试流程

1

Application Review

2

HR Screen

3

Technical Interview

4

Stakeholder/Panel Interview

5

Final Round

6

Offer

常见问题

Technical Knowledge

Past Experience

Behavioral/STAR

Role-Specific Skills

Culture Fit