- Excellent knowledge of MS Office (standard office applications).

- The basics of business etiquette, competent speech.

- Excellent knowledge of Kazakh and Russian (spoken and written).

These are not training or test projects. You will be working on real games, so we expect at least some practical experience: personal projects, game jams, mods, a portfolio, or completed test assignments.

The internship is unpaid at the beginning. We want to be transparent about this from the start so that everyone has the same expectations. After one month, if the collaboration is going well, we can discuss a small stipend. After 3–4 months, with strong performance and a sufficient level of independence, we can discuss transitioning to a fully paid position.

We are open to both part-time and full-time candidates.

Experience working with Unity is a plus, but it is not required.

We are looking for people who are motivated to work and learn, including on their own. You will not be left on your own - we will teach you what you need to know and help whenever necessary. At the same time, it is important that you already understand the fundamentals of your field and can gradually take responsibility for your work.

To apply, please send us:

1. The role you are applying for.
2. A brief summary of your experience.
3. Your portfolio or examples of your work.
4. Whether you are looking for a part-time or full-time position.

We are developing commercial games for Steam. We are currently working on two short incremental games: one about fishing, the other about roguelike RPGs.We are looking for beginners:

These are not training or test projects. You will be involved in the development of real games, so at least a little practical experience is important to us: personal projects, participation in game games, mods, portfolios, or completed test work. 

Conditions:
At the start, the internship is supposed to be unpaid. We talk about it directly in advance so that everyone has the same expectations.After a month, if the cooperation is successful, you can discuss a small minimum payment. After 3-4 months, with good results and a sufficient level of independence, you can discuss the transition to a full-fledged paid position.We consider both part-time and full-time.

We are developing commercial games for Steam. We are currently working on two short incremental games: one about fishing, the other about roguelike RPGs. We are looking for beginners.

Conditions:
- At the start, the internship is supposed to be unpaid. We talk about it directly in advance so that everyone has the same expectations.After a month, if the cooperation is successful, you can discuss a small minimum payment.
After 3-4 months, with good results and a sufficient level of independence, you can discuss the transition to a full-fledged paid position.
- We consider both part-time and full-time.

• Proven experience managing complex projects, preferably within IT, planning, or

consulting domains

• Strong understanding of project management methodologies, particularly Agile Scrum

• Excellent communication and stakeholder management skills, with the ability to work with multinational teams

• Knowledge of Anaplan or similar connected planning platforms is a plus

• Proficiency in English (B2 or higher)

Responsibilities:

• Facilitate workshops with scientific and technical stakeholders 
• Analyse and document current (As-Is) and future (To-Be) workflows across human genetics, GWAS, rare-disease genetics, bioinformatics pipelines, multi-omics, target prioritisation, translational biology, AI/ML research, and evidence integration 
• Gather and structure business, functional, and data requirements 
• Define data flows, system integrations, and cross-workflow dependencies 
• Support capability assessments, platform evaluations, and operating model design 

What we expect:

• 5+ years of Business Analysis experience in life sciences, biotech, or computational research 
• Scientific background in life sciences, computational biology, bioinformatics, genetics, or a related scientific discipline 
• Experience mapping scientific workflows and translating them into requirements for technical teams 
• Experience working with research data platforms, data integration, and scientific workflows 
• Strong stakeholder management, workshop facilitation, and communication skills 
• Excellent English
• Willingness to travel to the UK when required 

Nice to have:

• Experience with platforms such as Databricks, Genestack, PlutoBio, or similar 
• Exposure to AI/ML, research data platforms, metadata governance, or FAIR principles 

Responsibilities:

• Define benefit hypotheses for computational biology, evidence-integration, and AI/ML capabilities.
• Develop KPIs and baselines covering time from data to insight, data-preparation effort, workflow reproducibility, data reuse, target confidence, evidence quality, target-prioritization lead time, and access to genetics, omics, clinical, and real-world evidence data.
• Define benefit-measurement methods, data sources, and benefit owners.
• Develop the quantified In Silico benefits case and prepare investment decision materials.
• Build implementation roadmaps, manage dependencies, and support RAID management and program governance.
• Prepare Gate and steering committee materials.
• Combine scientific, technical, and commercial considerations into coherent recommendations for senior decision-makers.

What we expect:

• 5+ years of experience in business analysis, strategy, or program delivery in life sciences, biotech, data, or AI/ML transformation environments.
• A relevant degree in life sciences, computational biology, bioinformatics, or a related scientific discipline.
• Experience in benefits modelling for data, analytics, AI, or R&D transformation programs — including quantified business cases, KPI definition, baseline setting, and benefit-measurement approaches.
• Ability to assess and quantify improvements across productivity, lead time, quality, capacity, and decision confidence in a research or drug discovery context.
• Experience developing implementation roadmaps, managing dependencies, and supporting RAID management, program governance, and Gate preparation.
• Experience preparing investment decision materials for senior or executive audiences.
• Proven ability to combine scientific, technical, and commercial considerations into a coherent recommendation.
• Strong executive communication, analytical, and presentation skills.
• Willingness to travel to the UK when required.

Responsibilities:

• Gather and analyze business and technical requirements for platform selection
• Define evaluation criteria and support RFI/RFP processes
• Conduct market analysis across computational biology and bioinformatics platforms, research data platforms and cloud analytics, and AI/ML platforms and model governance tooling
• Facilitate vendor demos, technical discussions, and proof-of-concept activities
• Perform fit-gap, build-vs-buy, and integration analyses
• Prepare structured recommendations and executive-ready decision materials

What we expect:

• 5+ years of Business Analysis or Product Analysis experience in life sciences, biotech, or data-intensive environments 
• Scientific background in life sciences, computational biology, bioinformatics, genetics, or a related scientific discipline 
• Experience evaluating scientific platforms, vendors, or technology solutions
• Understanding of system integrations, APIs, data flows, and platform architecture
• Experience with RFP/RFI processes, vendor evaluations, and fit-gap analysis
• Excellent stakeholder management, communication skills, and English proficiency
• Willingness to travel to the UK when required

Nice to have:

• Experience with platforms such as Databricks, Genestack, PlutoBio, or similar
• Exposure to AI/ML, knowledge management, research data platforms, or FAIR data principles

Responsibilities:

• Define benefit hypotheses for the digital transformation of laboratory workflows
• Develop KPIs and baselines covering experiment lead time, laboratory throughput, resource capacity, manual handling, data-processing time, data quality, traceability, data reuse, and probability of success.
• Define benefit-measurement methods, data sources, and benefit owners
• Develop the quantified In Vitro benefits case and prepare investment decision materials
• Build implementation roadmaps, define milestones, manage dependencies, and provide sequencing recommendations
• Support RAID management, decision governance, and programme reporting
• Prepare Gate and steering committee materials
• Simplify complex scientific and technical information into clear, compelling narratives for senior stakeholders

What we expect:

• 5+ years of experience in business analysis, strategy, or programme delivery in life sciences, biopharma, or a related environment
• A relevant degree in life sciences, chemistry, biology, or a related scientific discipline — with sufficient understanding of pharmaceutical or biotech R&D operating models to assess the credibility of laboratory workflow benefit claims
• Experience in benefits modelling for digital transformation programmes — including quantified business cases, KPI definition, baseline setting, and benefit-measurement approaches
• Ability to connect benefits to productivity, capacity, lead time, quality, and probability of success in a laboratory or R&D context
• Experience in business-case development and investment decision support
• Experience developing implementation roadmaps, milestones, dependencies, and sequencing recommendations
• Experience supporting RAID management, decision governance, programme reporting, and Gate and steering committee preparation
• Strong analytical, written, and presentation skills — able to simplify complex scientific and technical arguments for senior non-scientific audiences
• Willingness to travel to the UK when required

Responsibilities:

• Plan and facilitate discovery workshops and interviews with scientists, laboratory SMEs, IT teams, and vendors.
• Analyse and document current (As-Is) and future (To-Be) workflows across experiment planning and registration, ELN usage, assay setup, inventory management, sample and entity registration, plate-based workflows, laboratory automation, imaging, omics, quality control, and scientific data capture.
• Elicit, analyse, and structure data, integration, governance, and non-functional requirements.
• Conduct capability-gap and business-impact analysis.
• Translate complex scientific workflows into clear processes and system requirements usable by engineering teams and vendors.
• Produce clear, structured, and governance-ready documentation throughout the engagement.

What we expect:

• 5+ years of experience in business analysis or similar analytical roles in life sciences, biopharma, or a laboratory environment.
• A relevant degree in life sciences, chemistry, biology, or a related scientific discipline — combined with prior hands-on experience working in or alongside laboratory research teams.
• Strong hands-on experience in As-Is / To-Be process mapping for complex scientific or laboratory workflows.
• Experience in requirements elicitation, analysis, documentation, and traceability — able to produce specifications that development teams and vendors can act on directly.
• Understanding of laboratory execution workflows including ELN, assays, automation, imaging, and omics — sufficient to map them accurately without losing scientific meaning.
• Experience facilitating workshops with scientists, laboratory SMEs, IT teams, and vendors.
• Experience analysing data, integration, governance, and non-functional requirements.
• Experience conducting capability-gap and business-impact analysis.
• Ability to produce clear, structured documentation suitable for governance and decision-making.
• Willingness to travel to the UK when required.