Scientist 2-Spatial Biology and Biophysics at 10x Genomics

Pleasanton, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

188900.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Molecular Biology, Biophysics, Spatial Transcriptomics, In Situ Hybridization, Biomolecule Imaging, Assay Design, Data Analysis, Troubleshooting, R, Python, Image Analysis, Experimental Design, Protocol Development, Scientific Communication, Cross-functional Collaboration

Industry

Biotechnology Research

Description

About the role: We are looking for an exceptional, multidisciplinary scientist to drive new research and product development efforts in our Spatial Biology department. The ideal candidate will have a proven track-record in molecular biology and biophysics with extensive experience designing and working with biomolecule imaging platforms (including 10x Genomics Xenium). This position necessitates a deep understanding of molecular biology as you will be applying your skills and knowledge to optimize and evaluate new assays in the area of spatial transcriptomics. Additionally, this role will require you to interact closely with colleagues in several departments including computational biology, software, engineering and microfluidics. You should have a strong analytical background, be driven by developing revolutionary new products and technologies, and enjoy working in a fast-paced, innovative and truly multi-disciplinary environment. What you will be doing: The successful candidate will contribute molecular biology and biophysics expertise and leadership to cross-disciplinary product development teams to ensure project milestones and technological specifications are met. Design and execute experiments using novel imaging and biochemistry platforms integral to various spatial technology platforms under development at 10x Genomics. This includes in-depth analysis and reporting of your data through documentation and presentations to internal groups. Work closely with computational biologists and optical engineers to interpret data generated by novel optical and biochemical assays. Develop demonstrated and robust protocols that will be used internally across various teams during product development. Minimum Requirements: PhD in Molecular Biology, Biophysics, Physical Chemistry or related field. 3+ years of relevant experience in situ hybridization, imaging and spatial techniques, preferably in the Biotechnology industry. Proven ability to design novel molecular biology assay schemes, as evidenced by peer-reviewed publications or published patents. Strong analytical background Strong organizational skills. Strong written and oral communication skills. Strong troubleshooting and problem solving skills. Ability to work in a fast-paced and quickly changing environment. Desire to build game-changing technologies and impact the world of life science research. Preferred Skills and Experience: Experience with the 10x Genomics Xenium platform is a plus. Fluency in R, Python or AI-aided coding to perform ad-hoc analysis is a plus. Skills in image analysis are a plus. #LI-MH1 #LI-Onsite Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package. Pay Range $139,700—$188,900 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee. Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.

Responsibilities

Drive research and product development in Spatial Biology by designing and executing experiments using novel imaging and biochemistry platforms. Collaborate with computational biologists and engineers to optimize assays and develop robust protocols for internal use.