Scientist - Computational Biology [m/f/d]
- Employer
- Ray Sono AG
- Location
- California, Missouri, US
- Salary
- Competitive
- Closing date
- Aug 3, 2024
View more categoriesView less categories
- Sector
- Consultancy/Private Sector
- Field
- Informatics / GIS
- Discipline
- Biology
- Salary Type
- Salary
- Employment Type
- Full time
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Your mission
With immediate effect, we are looking to hire a passionate
Scientist - Computational Biology [f/m/d]
into our Assay Development team. By closely working with biologists and biomedical experts, you will be responsible for computational downstream analysis of high-dimensional spatial single cell data with a strong focus on immuno-oncology. This is a full-time role, based in the company office in Monheim am Rhein, Germany, where you will be working in close interaction with the Application Development, Molecular Biology and the Data Science team. It comes with the opportunity to work with other company sites around the world. Key Responsibilities: Work closely within teams to apply software tools and pipelines for computational downstream analysis of molecular cartography spatial multi-omic datasets. Draw biological conclusions from high-dimensional single cell data (imaging and sequencing-based), e.g., by analyzing cell types, differential expression, cellular neighborhoods, and cell-cell communication. Evaluation of technical influence on data analysis results (e.g., cell segmentation) Evaluate targeted gene panels for performance and accuracy. Collect requirements from team members and other project teams. Train and support internal users of data analysis tools and pipelines. Work effectively with internal developers and external partners in achieving shared project goals and timelines. Responsible for personal work planning against agreed-upon objectives. Your profile
PhD in biology, bioinformatics or similar with 3+ years of experience Extensive experience in the analysis of high-dimensional single cell data (e.g., scRNA-seq) using state-of-the-art packages such as Seurat, Scanpy and custom scripts. Experience in computational downstream analysis of oncology and/or systems immunology data is desired. Proficiency in R or Python is required, proficiency in both is desired. Experience with fluorescence microscopy, image analysis and respective software packages is beneficial. Experience in using workflow tools such as Snakemake or Nextflow is beneficial. Experience with experimental design / study design for harmonized analysis of multi-experiment, multi-variable studies with large numbers of samples is a plus. Excellent organizational and prioritization skills with a strong attention to scientific detail. Structured, team-oriented, common goal mindset, excellent communication skills. Willingness to travel internationally if the need should arise. Personal Characteristics
At Resolve Biosciences, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants of all genders, ethnicities, nationalities, religions, abilities, and backgrounds to apply for our open positions. We are committed to creating a workplace where everyone feels valued, respected, and supported. Why us?
This is the perfect opportunity to become a part of a highly motivated, agile, and international team in an attractive work environment with excellent career opportunities and flat hierarchies. We provide space for creativity and flexible working hours and look forward for new members to join us on an exciting journey into a new field of biotechnology. Join our dynamic scale-up where the challenges are as vast as the opportunities. Experience unparalleled
personal growth
as you navigate through a fast-paced environment that encourages
continuous learning . Here, mistakes are not setbacks but steppingstones, and
courage
is celebrated. Take ownership , learn from every experience, and see the direct
impact
of your efforts daily. Build your career on a foundation of
trust
and be part of a team that is shaping the future. Welcome to our scale-up journey, where your professional and personal development knows no bounds and contributes to
groundbreaking innovations
that have a tangible impact on human and general health,
making a difference in people's lives every day.
#J-18808-Ljbffr
With immediate effect, we are looking to hire a passionate
Scientist - Computational Biology [f/m/d]
into our Assay Development team. By closely working with biologists and biomedical experts, you will be responsible for computational downstream analysis of high-dimensional spatial single cell data with a strong focus on immuno-oncology. This is a full-time role, based in the company office in Monheim am Rhein, Germany, where you will be working in close interaction with the Application Development, Molecular Biology and the Data Science team. It comes with the opportunity to work with other company sites around the world. Key Responsibilities: Work closely within teams to apply software tools and pipelines for computational downstream analysis of molecular cartography spatial multi-omic datasets. Draw biological conclusions from high-dimensional single cell data (imaging and sequencing-based), e.g., by analyzing cell types, differential expression, cellular neighborhoods, and cell-cell communication. Evaluation of technical influence on data analysis results (e.g., cell segmentation) Evaluate targeted gene panels for performance and accuracy. Collect requirements from team members and other project teams. Train and support internal users of data analysis tools and pipelines. Work effectively with internal developers and external partners in achieving shared project goals and timelines. Responsible for personal work planning against agreed-upon objectives. Your profile
PhD in biology, bioinformatics or similar with 3+ years of experience Extensive experience in the analysis of high-dimensional single cell data (e.g., scRNA-seq) using state-of-the-art packages such as Seurat, Scanpy and custom scripts. Experience in computational downstream analysis of oncology and/or systems immunology data is desired. Proficiency in R or Python is required, proficiency in both is desired. Experience with fluorescence microscopy, image analysis and respective software packages is beneficial. Experience in using workflow tools such as Snakemake or Nextflow is beneficial. Experience with experimental design / study design for harmonized analysis of multi-experiment, multi-variable studies with large numbers of samples is a plus. Excellent organizational and prioritization skills with a strong attention to scientific detail. Structured, team-oriented, common goal mindset, excellent communication skills. Willingness to travel internationally if the need should arise. Personal Characteristics
At Resolve Biosciences, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants of all genders, ethnicities, nationalities, religions, abilities, and backgrounds to apply for our open positions. We are committed to creating a workplace where everyone feels valued, respected, and supported. Why us?
This is the perfect opportunity to become a part of a highly motivated, agile, and international team in an attractive work environment with excellent career opportunities and flat hierarchies. We provide space for creativity and flexible working hours and look forward for new members to join us on an exciting journey into a new field of biotechnology. Join our dynamic scale-up where the challenges are as vast as the opportunities. Experience unparalleled
personal growth
as you navigate through a fast-paced environment that encourages
continuous learning . Here, mistakes are not setbacks but steppingstones, and
courage
is celebrated. Take ownership , learn from every experience, and see the direct
impact
of your efforts daily. Build your career on a foundation of
trust
and be part of a team that is shaping the future. Welcome to our scale-up journey, where your professional and personal development knows no bounds and contributes to
groundbreaking innovations
that have a tangible impact on human and general health,
making a difference in people's lives every day.
#J-18808-Ljbffr
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