About the project

Creating a similar AI-based tool that will accelerate and improve the quality of processing large volumes of information in the field of geology and Data science.

The ideal candidate has extensive experience in RnD project management and is interested in evolving an absolute new product on the market in this area. Has knowledge of Data science/AI/ML and would like to apply his/her expertise in building a real product. Has the skills to build a product development process and teams from scratch. Is someone who knows how to bring together and distribute the work of developers and responsible opportunities. Knows how to build rapport with top managers. And is ready to become the CEO of the product in the future.

Main requirements

⁃ RnD project management experience is mandatory.

⁃ Communication skills at a high level.

⁃ Ability to find common language with opportunities of different fields and position level.

⁃ High organizational skills.

⁃ Ability to understand new things. 

⁃ Ability to see and understand how to monetize the product, analytical skills.

⁃ Strong knowledge and experience in writing roadmap projects.

⁃ Experience in running mining projects.

⁃ Understanding of DS, AI, Neural Networks, etc.

⁃ Industrial domain knowledge and experience will be a big plus.

Terms and Conditions

⁃ Work from a comfortable office in Moscow.

⁃ High salary.

⁃ Full-time schedule.

We are looking for a skilled and motivated Bioinformatician / Data Scientist to join a dynamic team. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data.

Should be able to be present in person at Cambridge, USA office at least once week.

Responsibilities:

• Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions.
• Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets.
• Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
• Participation in development, deployment and optimization of bioinformatic workflows pipelines for processing NGS data (single-cell and bulk RNA-seq). Interpret results from these workflows to generate insights.
• Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers.
• Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets.
• Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms.
• Present findings and results to internal teams and external stakeholders in a clear and concise manner.
• Deploy and optimize bioinformatic workflows for the integration and analysis of NGS data, including short and long read sequencing data. Interpret results from these workflows to generate insights.
• Perform quality control checks, align sample data to the reference genome, and produce variants called files (VCFs), and joint-genotyped VCF files.
• Conduct statistical and genomic analysis, develop custom algorithms.

What we expect:

• B.S. or M.S. level of relevant education with hands on experience (Computer Science, Bioinformatics etc) in NGS workflow development and analysis.
• Experience with GxP, Genedata Selector and NGS for Cell Therapy domains is a must.
• Solid understanding of bioinformatics concepts, algorithms, and tools.
• Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data.
• Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines.
• Proficiency in pipeline development using Nextflow, Cromwell, or other popular framework.
• Experience with Python programming language. Proficiency in programming languages such as Python or R and experience with relevant bioinformatics software and tools.
• Solid knowledge of statistical analysis, machine learning, and data mining techniques.
• English level C1 or higher.

Nice to have:

• Experience in next-generation sequencing (NGS) data analysis and variant calling.
• Knowledge of structural bioinformatics and molecular modeling.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Experience with deploying pipelines to AWS.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders.

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.