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.

Fluent in Kazakh and Russian languages;

Good oral and written communication skills;

Responsibility, punctuality, organization and timely completion of tasks;

The ability to quickly learn new information and work effectively in multitasking mode;

Initiative, communication skills and focus on results.

SANBER is a full-service digital communication agency that has been operating in the Kazakhstan market for over 7 years. We are not afraid to change the digital marketing industry, we work with large and international brands, create avatars, websites, chatbots and manage complex projects. We are currently actively developing our AI business and are looking for a Project Manager to help us develop and implement our own AI platform.

At least 2-3 years of IT project management experience (preferably in marketing or digital agencies).

· Understanding the roles of development: frontend, backend, QA, DevOps.

· Ability to decompose tasks and work with planning tools.

· Confident work with Jira/Confluence (or analogues).

· Knowledge of Agile/Scrum/Kanban and the ability to apply them in practice.

· Skills in working with APIs, web integrations, and client-server architecture (will be an advantage).

· Strong communication skills and the ability to work with a large number of stakeholders.

Analytical mindset, proactivity and a sense of responsibility for the result.

· Perfect command of Russian and Kazakh languages. Knowledge of English is an advantage.

• Significant work experience in the field of commercial real estate management, marketing or development

• Work experience in a managerial position in the management of shopping, office or multifunctional centers

• Experience working with high-class facilities that meet high standards of customer service

• Formation and launch of management structures

• Development and implementation of commercial strategies, including the involvement of anchor tenants and B2B partners

• Transformation of marketing and customer experience (CJM, loyalty programs, omnichannel services)

• Management of large real estate objects

• Working in international commercial real estate companies is an advantage

• Adapting international business models to the Central Asian market is an advantage

We are looking for a Testers/QA Engineer to join our team to improve the development process, implement voice robots, and chatbots. A specialist who has a great desire to achieve high results in quality control at all stages of development.

We expect the Tester to show responsibility and attention to detail, and a great desire to influence the quality of the product.

The company has extensive experience in developing and implementing advanced information solutions, and we invite you to become part of our team and move forward with us.

Requirements for the candidate:

·       Required work experience: at least 3 years (including university studies)

·       Experience in manual, automated software testing

·       Experience in the task setting and tracking system (Jira);

·       The ability to compile error reports competently and efficiently

·       Experience in conducting business correspondence and telephone conversations

·       The ability to formulate thoughts correctly

·       The ability to plan your own work

It will be a plus:

·       Experience working with databases

· Knowledge of one or more programming languages

What is important:

• The ability to work with people and competently conduct a dialogue on whatsapp and on calls
• Multitasking and the ability to quickly navigate through a large amount of information
• High level of empathy and emotional intelligence
• Fluent in Kazakh and Russian languages