Data Scientist – Image Analysis
We are a science and technology consulting firm based in RTP, NC, specializing in providing cutting-edge scientific consulting services to a diverse clientele including the US Federal Government, academic institutions, non-profit research organizations, and bio-pharmaceutical companies. Our dynamic team comprises PhD and master’s level scientists and informaticians, and we are currently expanding our capabilities. One of our key areas of growth is in toxicological image analysis, with a focus on leveraging advanced deep learning techniques. For more information on our recent image analysis projects, please visit here.
We are actively seeking a talented Data Scientist with a strong background in Deep Learning for image processing to join our team. In this pivotal role, you will play a crucial part in developing state-of-the-art algorithms aimed at analyzing images and videos of various biological entities such as 3D spheroids, cell-painting data, model organisms (e.g., Zebrafish, planarian, C. elegans), and toxicology assays. By closely collaborating with biologists and scientists, you will provide innovative solutions to complex problems through the analysis and design of Deep Learning models, thereby directly influencing research outcomes.
Responsibilities
- Lead the conceptualization, design, and implementation of advanced Deep Learning algorithms, with a focus on optimizing for accuracy, speed, and interpretability.
- Perform data cleaning, preprocessing, and curation of cellular and model organism image and video datasets to ensure high-quality inputs for model training and validation.
- Expertly train and evaluate Deep Learning models using leading frameworks such as TensorFlow and PyTorch, iteratively refining them for superior performance.
- Collaborate effectively with cross-functional teams to seamlessly integrate Deep Learning models into applications and deploy them into production environments.
- Stay ahead of the latest developments in Deep Learning and cellular/biomedical imaging technologies, continuously enhancing and adapting existing models.
- Maintain comprehensive documentation for all developed algorithms to facilitate knowledge sharing and team collaboration.
Desired Skillset
- Minimum of 3 years of hands-on experience in developing Deep Learning solutions for image processing applications.
- Strong background in cellular image processing is highly preferred.
- Experience with the analysis of cell painting data is strongly desired.
- Proficiency in Python, TensorFlow, PyTorch, along with familiarity with various cellular imaging modalities and formats.
- Solid understanding of image classification, segmentation, registration, and feature extraction techniques.
- Knowledge of GPU acceleration techniques for Deep Learning tasks.
- Excellent communication skills and a collaborative mindset are essential.
- Strong analytical and problem-solving abilities, coupled with meticulous attention to detail.
How to Apply
- Send your detailed CV via email to jobs@sciome.com.
- Refer to position title Data Scientist – Image Analysis.
- Provide your contact information and a good time to reach you via phone.
UI/UX Developer
We are a science and technology consulting company, based in RTP, NC. We provide our scientific consulting services to the US Federal Government, Academic institutes, Non-profit research organizations, and Bio-pharmaceutical companies. We have a small team (PhD/Masters/Bachelors level scientists and developers) and we are growing!
One of our main areas of expertise is in biological data and text mining. In this domain, we specialize in developing computational methodologies for text and scientific literature mining which we implement in the form of desktop and web-enabled applications in order to solve real-world problems on behalf of our clients. In addition, we also employ these methods in concert with other bioinformatics techniques to enable data and literature driven discoveries in support of life sciences research.
We have an opening for a software engineer position. This is a new growth opportunity, and it is a great time to join our growing team. This position promises an impactful career in a fun and relaxed work environment with flexible work hours. We provide a complete compensation package including competitive base salary, 401(k), medical, dental and disability coverage.
Detailed position description is provided below:
Responsibilities
As a member of our team, you will be responsible for contributing to the design, implementation, testing and maintenance of several new and ongoing desktop and web applications. You will work with other scientists and engineers to:
- Implement frontend UI for web applications based on user stories
- Create wire-frames, mockups and prototypes for web application features
- Participate in design meetings and code reviews
Education
- Bachelors in Computer Science (or related field) or relevant, related work experience
Basic Qualifications
The ideal candidate would have several of the following skills and experience:
- At least 2 years of experience as a professional front end or web developer
- Experience with JavaScript, TypeScript, Node.js, HTML and CSS
- Experience developing frontend applications with libraries and frameworks such as LitElement, React, Angular, Vue.
- Experience designing intuitive and responsive user interfaces
- Ability to translate user needs into frontend code
- Experience participating in high quality code and design reviews
Preferred Candidate Qualifications
- Knowledge of frontend build processes and tools (vite, webpack, bower)
- Experience writing unit test cases
- Experience with Web Components and related libraries (LitElement, Polymer)
- Experience using Git and version control
- Previous exposure to scientific applications and/or scientific data analysis
How to Apply
If you are interested in applying for this position, please do the following:
- Send your CV/Resume to jobs@sciome.com
- Refer to position title Software Engineer
- Provide your contact information and a good time to reach you via phone
Statistical Geneticist
Sciome consults with leading researchers across the globe providing analytics support for experiments that generate large volumes of scientific data from a variety of health and environmental projects. Sciome has an opportunity for a statistical geneticist who will provide data analytical support for a diverse set of studies investigating the complex relationships between genetic and environmental factors or potential therapeutics on biological systems. Our clients generate massive amounts of scientific data via varied high throughput technologies, and such projects require systematic analysis of multidimensional data using state of the art statistical and/or machine learning techniques. Additionally, we partner with our clients to develop novel biostatistical methods, mathematical models and machine learning approaches, often resulting in new methods published in peer-reviewed journals along with the release of new software packages for wider use. The candidate will have a unique chance to work with leading scientists having wide ranging perspectives on scientific issues and to progress his/her career in a growing organization.
Education
Master’s or PhD degree in Statistics / Mathematics or closely related field.
Key Responsibilities
- Design, develop, and implement mathematical or statistical analyses of genetic data aimed at assessing the impact of environmental or therapeutic exposure on key biological endpoints.
- Contribute towards the application of statistical approaches for the analysis of genomics, toxicology, environmental or clinical data.
- Participate in the development of novel quantitative approaches, or the customization of statistical methods per project needs.
- Identify analytical and computational bottlenecks involved in analysis and develop techniques to resolve them efficiently.
- Ensure appropriateness and applicability of mathematical, statistical, or research techniques utilized, and contribute towards rigorous evaluation and validation of those techniques.
- Assist in evaluation and documentation of statistical methodologies used and prepare recommendations based on mathematical or statistical findings.
- Participate in manuscript/report preparation to accurately summarize study design, methods, analysis plans and interpretation of results.
Desired Skillset
The ideal candidate will have experience in several of the following areas:
- In-depth knowledge of core statistical principles and various areas of statistical sciences such as generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, dimensionality reduction, etc.
- Demonstrated ability to select appropriate statistical techniques given a data analysis problem.
- Familiarity with statistical methods used for genome wide association studies (GWAS), detection of variance quantitative trait loci (vQTL), genetic linkage analysis for pedigree data, haplotype construction and epistasis biomarker development.
- Experience with methods for genotype calling, copy number variation and missing data imputation.
- Experience with implementation of multi-stage workflows and automated report generation is preferred.
- Experience with the use of statistical packages in R, SAS, PLINK, GoldenHelix
- Scientific programming experience using scripting languages such as Perl and/or Python is preferred.
- Strong communication and writing skills in English are essential.
- The ideal candidate will have a proven track record of scientific publication in biostatistics, bioinformatics, life sciences or related scientific domains.
- Must be eligible to work in the U.S.
How to Apply
- Send your detailed CV via email to jobs@sciome.com.
- Refer to the position title Statistical Geneticist.
- Provide accurate contact information.
Bioinformatics Scientist
Sciome consults with leading researchers in the field and provides bioinformatics support for experiments generating ‘omics data from a variety of health and environmental projects. Sciome has an opportunity for a bioinformatics scientist to conduct analyses in support of a variety of genomics studies that investigate the role of genetic and environmental factors on biological systems. The candidate will have a unique chance to work with leading scientists having wide ranging perspectives on scientific issues and to progress his/her career in a growing organization.
The successful candidate will participate in the analysis of large, high-throughput ‘omics datasets such as those generated by next generation sequencing and microarray platforms via the application of bioinformatics and statistical methods. Projects may also include analyses of toxicological, environmental and other biological data types in addition to genomics data. Typical projects investigate changes in chromatin marks (ChIP-Seq, ChIP-Chip), gene expression [mRNA-Seq, Microarray], and the influence of genetic variations (SNPs, genetic rearrangements, etc.) in response to environmental stressors. Data analysis will be carried out using off the shelf bioinformatics analyses techniques as well as in house methodologies. Data management, analysis, interpretation, and documentation leading up to publications will be necessary for successful progression of projects.
Education
Masters or PhD degree in Bioinformatics / Computational Biology / Computer Science / Statistics or closely related field.
Key Responsibilities
- Bioinformatics analysis of genomics data arising from next generation sequencing and microarray platforms. Specific data types include Exome-seq, ChIP-seq, ChIP-on-Chip, mRNA-seq, DNA-Seq and microarray gene expression or genotype data.
- Perform statistical analysis of genomic datasets and participate in methods development while working with Sciome team members. Utilize appropriate off-the-shelf tools or in-house methods and keep up with the literature on rapidly evolving next generation sequence data analysis tool sets.
- Contribute towards the management of large biological datasets and maintaining data analysis workflows as necessary for analysis of sequencing and microarray data.
- Participate in drafting data analysis plans per project needs, perform bioinformatics analysis of the data, interpret results and communicate the results with clients and researchers.
- Document analysis workflows and methods for further report generation and/or scientific publication in peer reviewed journals.
Desired Skillset
Experience with analysis of Exome-seq, DNA-Seq, ChIP-seq, ChIP-Chip, mRNA-seq and microarray datasets.
- Understanding of the wide range of bioinformatics tools and methods for analysis of data originating from next generation sequencing and microarray platforms.
- Experience with applying appropriate statistical and/or bioinformatics analyses to large molecular biological datasets.
- Familiarity with statistical data analysis methods such as generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, machine learning methods for genomics as well as computational biology methodologies for microarray, SNP, and next generation sequence data analysis.
- Experience with the use of statistical packages in R and experience in scripting languages such as Perl, Python or Matlab.
- Software coding experience in multiple languages is preferred.
- Strong communication and writing skills in English are essential.
- The ideal candidate will have a proven track record of scientific publication in the fields of bioinformatics, genomics and/or the life sciences.
- Must be eligible to work in the U.S.
How to Apply
- Send your detailed CV via email to jobs@sciome.com.
- Refer to position title Bioinformatics Scientist.
- Provide your accurate contact information.
Software Developer
We are a science and technology consulting company, based in RTP, NC. We provide our scientific consulting services to the US Federal Government, Academic institutes, Non-profit research organizations, and Bio-pharmaceutical companies. We have a small team (PhD/Masters/Bachelors level scientists and developers) and we are growing!
One of our main areas of expertise is in biological data and text mining. In this domain, we specialize in developing computational methodologies for text and scientific literature mining which we implement in the form of desktop and web-enabled applications in order to solve real-world problems on behalf of our clients. In addition, we also employ these methods in concert with other bioinformatics techniques to enable data and literature driven discoveries in support of life sciences research.
We have an opening for a software engineer position. This is a new growth opportunity and it is a great time to join our growing team. This position promises an impactful career in a fun and relaxed work environment with flexible work hours. We provide a complete compensation package including competitive base salary, 401(k), medical, dental and disability coverage.
Detailed position description is provided below:
Responsibilities
As a member of our team you will be responsible for contributing to the design, implementation, testing and maintenance of several new and ongoing desktop and web applications. You will work with other scientists and engineers to:
- Produce high quality code to ensure maintainability
- Implement new features and contribute to the development of new and existing software products
- Participate in design meetings and code reviews
Education
- Bachelors in Computer Science (or related field) or relevant, related work experience
Basic Qualifications
The ideal candidate would have several of the following skills and experience:
- At least 4 years of experience as a software engineer (Preferably Java)
- Experience with relational databases (MySQL, SQL Server, etc.)
- Familiarity with Object Oriented Programming with design and architecture patterns
- User Interface design and development experience
- Experience participating in high quality code and design reviews
Preferred Candidate Qualifications
- ORM experience (Hibernate)
- Spring framework
- Desktop — Experience designing and developing desktop applications
- Web — Experience designing and implementing web-enabled front ends
- Relational database environments
- Experience writing unit test cases (JUnit, NUnit, etc.)
- Understands different software development methodologies
- Past experience creating UML diagrams
- Previous exposure to scientific applications and/or scientific data analysis
How to Apply
If you are interested in applying for this position please do the following:
- Send your CV/Resume to jobs@sciome.com
- Refer to position title Software Engineer
- Provide your contact information and a good time to reach you via phone