We are looking for people who want to take part in the genomics revolution to join our team. Please send a covering letter and a CV to firstname.lastname@example.org. We welcome applicants with strong backgrounds, even if your experience does not match our requirements exactly!
Genestack is a company developing a bioinformatics platform for multi-omits R&D. We work with biopharmaceutical, consumer goods, agritech and healthcare companies and help them get the most out of their data. Our mission is to make the lives of people who do bioinformatics simpler and we do that by combining an intelligent data management system, a full range of data analysis pipelines and interactive visual tools. Our platform lowers the entry barrier to bioinformatics, so that people who don’t know how to code can still analyse and manage their data.
We’re a dynamic, smart and driven team led by an experienced founder, who knows the industry like the back of his hand. We’re looking for an enthusiastic Sales Executive with a proven track record to help fuel the growth of our business and participate in shaping the future of the company.
About the role:
As a Sales Executive, you would be working with our sales team on:
–Nurturing of prospect relationships
–Negotiating and closing deals
–Achieving sales targets
–Ensuring customer satisfaction
–Contributing to the sales strategy development
You will also be working with the Marketing team to closely align marketing and sales goals and objectives.
–You have a proven sales track record of delivering and sustaining revenue, ideally in the genomics space, but anything biotechnology-related will work too
–You are interested in genomics and bioinformatics
–You are a dynamic person, who finds it easy to network and build relationships with potential clients
–You are a hard, independent worker
–You are proactive and eager to shape the future of the company.
–You have good time management and negotiation skills
–Ideally, you have experience with CRM software (Salesforce, Hubspot) and building the sales funnel
If you are interested in this position, please send us your CV, a short covering letter explaining why do you think you would be a good fit.
Who are we?
Genestack is a collaborative platform for large-scale genomics data management and analysis, used by biologists and bioinformaticians from pharma, academia and biotech industries.
Our mission is to step up the pace of bioinformatics. We are tackling the underlying computational and scientific challenges of the field in order to provide researchers with tools that will streamline the discovery process, taking them swiftly from raw data to meaningful biological results.
We’re looking for a brilliant bioinformatics scientist to join our Bioinformatics R&D team. The position will be full-time and based in our brand new office in central Cambridge.
Some of the things that you’d be doing:
–Investigating methods and tools at the forefront of bioinformatics research to solve concrete scientific challenges encountered on a daily basis in our projects
–Analysing and exploring complex large-scale genomics datasets using the Genestack platform to answer practical biological questions
–Working closely with our highly talented software engineering team to embed bioinformatics pipelines into robust applications for the Genestack platform
–Implementing algorithms and building applications prototypes on the platform
We’re looking for candidates with the following skillset:
–Experience in bioinformatics data analysis: knowledge of data types, pipelines, databases, and typical challenges/caveats associated with bioinformatics analysis
–Scripting proficiency with Python and/or R, including data analysis libraries (e.g. Bioconductor, pandas, numpy, etc.)
–Proficiency with the UNIX command-line
–Good knowledge of statistics
–Being passionate about finding a rigorous way of investigating an ill-defined biological question
–Ability to report scientific findings
What we offer:
–Flexible working hours
–Relaxed working environment
–Loads of independence
To apply, send your CV and covering letter to email@example.com
Genestack is a genomics platform which is used by biologists to research, store, organise and process data. We have offices in St. Petersburg (Russia) and Cambridge (UK).
We’re searching for a UI developer in St. Petersburg or Cambridge. They will:
–Conceive, code and maintain bioinformatical and administrative UIs;
–Improve our development environment.
We solve hard problems within short iterations and immovable deadlines. This is why we want a strong front end specialist.
–Fundamental JS knowledge;
–Intimate knowledge of DOM APIs;
–Expertise in jQuery;
–Understanding of OOP and FP principles, and of MVC approach;
–Ability to create UI components and build UIs with them;
–Experience with unit testing;
–Experience with modern JS tooling;
–Interest in new JS trends: React, Angular 2, Webpack, etc.
–Basic knowledge of node.js.
Our candidate is also a CSS expert. The following is required:
–CSS fundamentals knowledge;
–CSS3 experience (incl. flexbox);
–Proficiency with browser devtools.
–Canvas and d3 experience are also very appreciated.
Some knowledge of Java is a plus.
Our UI developers design the UIs themselves. They should have some fundamental knowledge about UI design and a portfolio. We expect our candidates to have read or have knowledge of the works of Norman, Cooper, Tufte or Raskin.
We’re searching for a responsible and experienced developer, who is able to work on their own, without a manager (we don’t have any).
Contact us at firstname.lastname@example.org with a CV and link to portfolio.
Here we have selected three collaborative projects that we think would be best suited for internships. However, Genestack is evolving very rapidly and is flexible to accommodate new project ideas. So, please reach out to us, if you’d like to discuss about our alternative/ upcoming projects, or should you like to propose your own project idea.
Project 1: Fighting Lung Microbial Infections in Cystic Fibrosis Patients
Aim: To develop a rapid sequence-to-report NGS system for microbial pathogen detection.
Cystic fibrosis is a genetic disorder which makes people prone to frequent lung infections by pathogens such as Aspergillus fumigatus. These infections can be quite severe and often require hospitalization. The patients must be treated with antibiotics and monitored closely.
In order to accurately identify and quantify the pathogens that are present in a patient’s lungs, we are building a pipeline in collaboration with a major UK NHS hospital and a global hardware manufacturer to analyse microbiome sequencing data derived from sputum samples of cystic fibrosis patients.
As an intern, you will take part in the development of a cloud-based Genestack application to produce interactive microbiome analysis reports for clinicians and researchers. You will also be involved in the design and validation of the bioinformatics pipeline, using published microbiome datasets as well as clinical data provided by our collaborators. You will have access to a custom-built supercomputer co-designed with Intel for this project in order to test and run the bioinformatics pipeline.
Project 2: NGS-based Assay to Monitor Allogeneic Bone Marrow Transplantation Success
Aim: To develop a complete NGS-based data analysis and clinical reporting system to assess donor cell engraftment after allogeneic stem-cell transplantation.
We are working with a department at the University of Cambridge set up recently to translate cutting edge genomics methods for advanced diagnosis and clinical management of cancer. Together we aim to improve assays for the monitoring and clinical reporting of patients after allogeneic bone marrow transplantation.
Chimerism analysis is the process of determining the cells’ origins of the post-transplant recipient. Discrimination of donor- or recipient-derived haematopoiesis allows evaluation of the engraftment success or rejection, which can serve as a prognostic indicator of relapse. PCR amplification of STRs and SNP-specific q-PCR have been the techniques of choice for this task, but each has its own limitations. In this project, we will develop and evaluate a promising emerging, more advanced NGS-based strategy for chimerism analysis.
You will help to develop new, and improve existing, cloud-based Genestack applications to produce a comprehensive, easy to understand chimerism report, aimed at researchers and clinicians. You will work alongside researchers and clinicians to improve upon the current chimerism analysis methodology, and to streamline the process from sample collection to clinical reporting via the Genestack platform.
Project 3: Genomics-based Crop Analysis Using Multi-omics Gene-Trait Networks
Aims: (1) To integrate multi-omics data and literature mining for constructing plant genome-scale knowledge network. (2) To develop query/visualisation features for interrogating the knowledge network and finding candidate genes and QTL associated with phenotypes.
Genestack is working on an Innovate UK funded collaborative project with Rothamsted Research, a major UK agri-genomics research centre and the longest running agricultural research station in the world. Over the past ten years Rothamsted Research has been developing techniques to integrate multi-omics data and literature mining for gene networks analysis. These techniques are necessary to mine the wealth of public domain data to link traits to gene function and ultimately to understand complex crop traits and improve their yields, nutritional quality, as well as tolerance against diseases or drought. However, these tools can be difficult to set up and maintain for many users, especially in the industry. Combining public and proprietary datasets for building extended knowledge bases is particularly challenging. To overcome such challenges, Genestack and Rothamsted have started to work closely on making these unique tools available on Genestack’s bioinformatics platform.
Rothamsted’s tools can combine public databases with custom multi-omics datasets, including homology, QTL databases, as well as pathways and hormone annotations for identifying key candidate genes in silico. Users can search for trait descriptions, refined by lists of QTLs or differently expressed genes. The results include lists of genes prioritised based on different types of evidence. All the discoveries can be explored using powerful network analytics and visualisations.
In this project, you will assist our effort of integrating these tools into the Genestack platform: streamlining the process of building genome-scale knowledge networks and improving upon the current network-based visual analytics. You will work with researchers at Rothamsted, and selected industry participants who will help steer the project by contributing specific requirements and needs.
For all projects listed some scripting ability is required (Python and/or R, primarily). Our internships come with a monthly stipend, and with a possibility to join the company at the end of a successful internship.
Genestack is a bioinformatics platform where biologists store, process and research genomic data.
We are looking for a programmer who can find elegant solutions and get things done in time.
We follow agile practices and work in small iterations. We expect our candidate to be able to split a large task into a number of smaller steps, each one having a measurable or visible result.
Tasks include, but are not limited to: development and support of the system core, API and platform applications, data storage optimization, and cluster process management (Amazon, etc).
–Strong Java skills
–Good knowledge of CS
–Knowledge of basic principles of OOP, data structures and algorithms
–Capability to work independently at all stages from planning to production code
–Knowledge of code optimization, profiling, and testing
–Ability to read other people’s code and refactoring experience
–Experience in web application development
–Intermediate level of English
–Interest in working with biological applications and data
Nice to haves:
–Experience with big data
–Knowledge of biology and genetics
–Experience with Unix-like systems
–Experience with JS/HTML/CSS
–Flexible working hours
–All the things you find in a startup: interesting problems, stimulating environment, loads of independence
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