Staff Scientist, Assay Development and Data Analytics

Bruker Corporation•San Jose, CA

37d

About The Position

Bruker is one of the world's leading analytical instrumentation companies enabling scientist to make breakthrough discoveries and develop new application that improve the quality of human life. Our high-performance products and high-value life science and diagnostic solutions are trusted by leading businesses, institutes, and scientists worldwide. Today, more than 8,500 employees at over 90 locations are working on this permanent challenge to make the world a better place. Bruker Spatial Genomics (BSG, a Bruker subsidiary) is focused on opening a new frontier in spatial 3D genomics and multiomic analyses. We are committed to the development of a novel technology platform allowing progress in genome-wide visualization of spatially resolved 3D chromosome and chromatin architecture in individual cells and cell populations in situ. We bring together the premier spatial omics approach, jebFISHTM, with leading-edge imaging, data acquisition and analysis capability. Our pioneering in situ technology enables examination of some of the most important questions in genomics and gene expression at the single cell and sub-cellular level. We aim to find the best talent in the field to join and contribute to this extraordinary endeavor, becoming a critical member of this groundbreaking opportunity. Bruker Spatial Genomics is looking for a Staff Scientist for their R&D team. The position and ideal candidate is described as follows: The candidate will be a key contributor to optimization and development of advanced bioassays for determination of chromosome and chromatin architecture through the use of spatial omics approaches. This is a unique multi-disciplinary position that will work closely with a variety of disciplines including scientists and engineers with molecular biology, general wet lab, or imaging experience. As part of our team, you will conduct cutting edge experiments to map spatial gene activity and expression. You will support technique optimization in the leading approach in in situ imaging of gene activity, localization, and expression. The ideal candidate should have demonstrated wet lab experience working independently in a biophysics, chemistry, biochemistry, or molecular biology laboratory. They should have a strong background in programming for data analysis of large data sets, , have exceptional attention to detail, and be able to critically analyze data and communicate results to the team. They should be be enthusiastic to work as part of a team in a fast-paced startup environment, and must bring a can-do attitude and sense of purpose to the job.

Requirements

BS/MS/PhD in biophysics, chemical/biomolecular engineering, molecular biology, biochemistry, cell biology, or a related field and 8-12+ (BS/MS) and 3-5+ (PhD) years of hands-on molecular biology experience in an academic or industrial setting.
Strong background in programming for analysis of complex and large data sets, preferably in python.
Proficient in standard molecular biology techniques such as sample preparation, nucleic acid amplification and purification (RNA/DNA), qPCR, and DNA sequencing or similar molecular biology techniques. Experience with microscopy.
Knowledge of advanced fluorescence in situ hybridization (FISH) or other in situ fluorescence probed-based techniques. Understanding of basic absorption and emission spectroscopy.
Highly motivated with excellent attention to detail. Good communication (oral and written) and collaboration skills.
Experience in cell culture and tissue preparation techniques.
Experience in troubleshooting and optimization of molecular biology assays including reagent formulation and workflow optimization.
Experience with experimental design and data analysis. Must be capable of performing complex multi-step experiments with detailed and diligent attention to technique and protocols with accurate record keeping.
Desire to be part of a rapidly evolving organization, which requires real-time communication, flexibility, working well with others, and a willingness to learn new techniques and methods.

Nice To Haves

Experience in product development including product release.
Familiarity with basic statistical data and error analysis. Familiarity with single cell and/or spatial transcriptomics, fixation chemistry, Design of Experiments (DOE).
Advanced fluorescence imaging techniques. Experience in microscopy image analysis.
Experience with use and troubleshooting of automated equipment, preferably for imaging applications

Responsibilities

Support and spearhead the method development and optimization of novel molecular biology assay schemes for spatial omic applications including molecular barcoding, fluorophore marking, nucleic acid hybridization, amplification and sequencing techniques, and probe library preparation.
Support the optimization of probe chemistry and probe-based sequencing with spatial multi-omic profiling applications.
Help develop the optimization of sample preparation methods such as tissue/cell fixation and permeabilization.
Independently plan and execute experiments, accurately record details, provide in-depth analysis, and report results through documentation and presentations.
Support the generation of test samples through cell culture and/or tissue preparation.
Assist/lead in the analysis of large and complex data sets, including developing routines for streamlined and automated data pipelines.
Prepare assay reagents and other components.
Work within multidisciplinary teams at all stages of product development.
Assist with research projects to profile spatial genomics. Collaborate with other team members on research studies.
Support and lead elements of the development, verification and validation of product related kits and reagents.
Analyze specimens on imaging instrumentation. Analyze research data and assist with data interpretation.
Prepare research reports and share findings with the team. Write protocols, develop procedures, and maintain accurate records
Clearly communicate and present results; contribute data for making critical design decisions.