Scientist, Bioinformatics

Overview

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group in St. Louis, Missouri. We are committed to providing cutting-edge Spatial Biology products and services to the academic, biotech and biopharma sectors. Our team of dedicated scientists is passionate about Spatial Biology and recognizes its potential to transform our understanding and eventual diagnosis of disease. We offer competitive salaries, comprehensive benefits, and a collaborative and stimulating research environment. Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our CellScapeTM platform. The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid background in bioinformatics, image analysis and will already understand Spatial Biology. Experience in microscopy and/or histology is desirable but not a precondition. In your role as a Bioinformatician, you will be given responsibility and ownership of your analysis projects. You will work on assignments that are complex in nature and require considerable judgment and initiative to solve problems. You will have room to maneuver and to execute your responsibilities creatively and effectively. Throughout your tenure you will be tasked with diverse projects, and you will need to be agile and flexible as you maneuver the complexities of each new problem. You will be expected to work reliably and to take on responsibility for the timely delivery of results. At any time, you should be ready to pivot as directives and roadmaps are aligned with a dynamic customer base. This role reports to our Senior Bioinformatician and does not include management of direct reports. This role does not have wetlab responsibilities.

Responsibilities

Responsibilities may include, but are not limited to:

• Design, build, and maintain bioinformatics tools, libraries, and databases analyzing Spatial Proteomics / mIF data.
• Analyze and interpret large, complex biological datasets - including spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and biologically meaningful patterns.
• Evaluate, test, and improve existing internal software solutions, and partner with software teams during active development cycles.
• Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex biomarker assays and translate scientific needs into analysis solutions.
• Communicate findings to scientists, researchers, and stakeholders through clear written reports and presentations.
• Challenge the status quo by engaging in constructive critique of established practices and proposing better alternatives.
• Deliver projects and milestones on time, keeping leadership informed through routine progress updates.
• May participate in travel to conferences and tradeshows.

Qualifications

• Requires a PhD with extensive bioinformatic analysis background
• Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is a plus.
• Industry experience is not required
• Demonstrated ability to design and write clean, reusable functions, modules, and analysis pipelines - not just notebook-style scripting.
• Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and deployment), particularly applied to imaging or single-cell data.
• Ability to communicate, educate and engage wet lab scientists
• Excellent collaboration and interpersonal skills

At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $86,500 and $153,500 provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more. #LI-RD1