1,245 Lead Scientific Researcher Bioinformatics Remote jobs in Kenya

• Lead and manage research projects in bioinformatics and genomics, from experimental design to data analysis and interpretation.
• Develop and implement advanced computational pipelines for processing and analyzing large-scale genomic and transcriptomic data.
• Apply statistical and machine learning techniques to identify patterns, biomarkers, and potential therapeutic targets.
• Collaborate with experimental biologists and other researchers to design studies and interpret results.
• Develop and maintain robust bioinformatics databases and software tools.
• Mentor and guide junior researchers and bioinformaticians.
• Prepare manuscripts for publication in high-impact scientific journals.
• Present research findings at scientific conferences and meetings.
• Ensure the highest standards of scientific rigor and data integrity.
• Stay current with the latest advancements in genomics, bioinformatics, and related fields.

• Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 8 years of post-doctoral research experience in bioinformatics and genomics.
• Demonstrated expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, RNA-Seq, ChIP-Seq).
• Proficiency in programming languages such as Python, R, and Perl.
• Experience with bioinformatics software and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
• Strong understanding of statistical methods and machine learning algorithms applicable to biological data.
• Proven ability to design and execute complex research projects independently.
• Excellent written and verbal communication skills for scientific dissemination and remote collaboration.
• Experience in leading research teams and mentoring junior scientists is essential.
• Strong publication record in peer-reviewed journals.

Empowering Africa's tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

My Career Development Portal:
Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are possibility.
Job Summary
To provide specialist advise and support in the preparation, development and analysis of financial data to provide accurate information to inform decisions enhancing stability, growth & profitability, through the execution of predefined objectives.

Job Description
Job purpose
Overall responsibility for the financial management of the Total Bank Cost space and Cost Efficiency. The role includes oversight of past, present and future financial performance of the Total Bank and various Functions, including the strategic objective of aligning to Absa Bank Kenya Plc.

• Senior stakeholder and relationship management is a key driver in-order to deliver financial objectives by leveraging off Finance, Functions, and other infrastructure groups across the organization.
• Identifying cost trends and financial risks with the presentation of these views alongside the financials at the various exco's and steercos.
• Delivering and presenting of accurate financial information in-order to assist in strategic decisions for Management (CFO, Functions, Sourcing, Board, CMC)
• Support all functions in decision-making process by providing insights into their financial performance, identifying potential cost risks and opportunities, and making recommendations and improvements.
• Provide financial planning and analysis, forecasting and monitoring the Total Bank financial performance to assist the CFO in driving the costs strategy.

Key Accountabilities
Strategy and planning

• Undertake key elements of strategic management activity, involving the identification of how value is created, destroyed, and driven in the function from a cost perspective.
• To support the business in its Outlook/Shape//MTP/STP/RAF processes.
• Support in completion, driving and tracking of the bank cost strategy.
• Lead in budgeting process, outlook and actual Numbers updates, and provide commentary to the performance metrics and actions.

Business Performance management

• To develop and report financial and other performance measures (metrics) required by the business e.g., the Monthly Business review Pack, Benefits Management Committee and Board papers.
• To monitor actual performance against target and to analyse variances.
• Support input of the financials to the investor relations packs, support management in investor relations sessions, press release and the results announcement.
• To respond to routine and ad hoc information requests.
• To produce reports that enable the identification options for improved financial performance and cost reduction.
• To support the business – in the production and review of specific technical elements of Management Accounts KPIs, margins review, Cost drivers.

Decision Support

• To provide support and analysis on a range of technical issues in connection with the Financial and Management Accounts e.g., variance/trend analysis (actuals v budget) makeup of specific costs etc.
• Lead in CFO/Finance mission statement updates, provide commentary to the performance metrics and actions.
• Provide analytics and trends to inform decision making/investment decisions

Stakeholder & Relationship Management

• Maintain and build key relationships across the organization to effectively drive cost strategy and protect value.
• Understand and identify key sustainable requests from stakeholders including adhoc requests.
• Ability to Implement actions without the direct responsibility of resources.
• Negotiate and leverage information off different groups across the organization in-order to meet stakeholder demands.
• Become the "go-to" person for all key senior stakeholders for all Finance matters relating to Costs.
• Liaise with centre to respond on all country costs queries.
• Provide feedback and updates on Cost financial / business matters.
• Communicate the cost related objectives to relevant stakeholders, ensuring alignment to the wider Absa objectives.
• To develop and report Costs financial and other performance measures (metrics) required by the business e.g. the Cost Monthly Business Review Pack, Monthly Efficiency Committee Steerco meeting, Cost CMC inputs, Cost Flash and Board papers, etc.

Team and staff Management

• Take responsibility for personal performance development, training and career development plans and ensure they are relevant and progressed.
• Develop cost health, check and challenge through regular training of cost champions

Qualifications Required.

• Bachelor's degree in finance & related fields
• Accounting Qualifications

Experience Required.

• Progressive experience in finance

Skills Required To Undertake The Role.

• Strong financial analytical and diagnostic skills
• Strong planning skills
• Excellent communication skills at all levels
• Excellent stakeholder management skills
• Excellent understanding of business strategy and competitive activity
• Good understanding of global and domestic economic trends
• Ability to work to tight deadlines without compromising accuracy
• Strong team player with good interpersonal, negotiation and influencing skills.
• Ability to influence senior management across the business.
• Experience in the financial services environment.
• Understanding of the broader economic and regulatory environment which Absa operates in.
• Good PC/systems skills.
• Learning agility
• Application Deadline – 9th October 2025***

Absa Bank Kenya is an equal opportunity, affirmative action employer. Preference will be given to suitable candidates from designated groups whose appointments will contribute towards the achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Education
Higher Diplomas: Financial Sciences (Required)

• Develop and implement data collection strategies for various sports performance metrics.
• Clean, transform, and analyze large datasets using statistical methods and analytical tools.
• Build predictive models to forecast athlete performance, identify potential injuries, and optimize training regimens.
• Create compelling data visualizations and dashboards to communicate complex insights to non-technical stakeholders.
• Collaborate with coaches and athletes to understand their data needs and provide performance recommendations.
• Identify key performance indicators (KPIs) and track progress towards strategic goals.
• Stay current with the latest advancements in sports analytics, machine learning, and data science techniques.
• Develop and maintain databases and data infrastructure for sports analytics.
• Present findings and recommendations in clear, concise reports and presentations.
• Contribute to the development of innovative data-driven strategies for fan engagement and sports marketing.

• Master's degree in Statistics, Data Science, Sports Analytics, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and sports analytics.
• Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of sports performance metrics and methodologies across various disciplines.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to translate complex data into understandable insights.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
• Experience with database management (SQL) is highly desirable.
• A genuine passion for sports and a desire to impact performance through data.

• Develop and maintain statistical models to analyze athlete and team performance data.
• Identify key performance indicators (KPIs) and metrics for various sports disciplines.
• Utilize data mining and machine learning techniques to uncover actionable insights.
• Design and execute experiments to evaluate the impact of training programs and strategies.
• Create compelling data visualizations and reports to communicate findings to coaches and management.
• Collaborate with sports scientists and coaches to translate data insights into practical applications.
• Monitor industry best practices and emerging technologies in sports analytics.
• Manage data integrity and ensure the security of sensitive performance information.

• Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a related data analysis role.
• Proven experience with statistical modeling, machine learning, and predictive analytics.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports performance metrics and biomechanics is highly desirable.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a remote team environment.

• Leading and mentoring a team of sports analysts.
• Developing and implementing advanced analytical models for athlete and team performance.
• Designing data collection protocols and ensuring data integrity.
• Identifying key performance indicators and providing strategic recommendations.
• Translating complex data findings into clear, actionable insights for coaches and athletes.
• Collaborating with sports science, coaching, and medical staff.
• Staying current with the latest trends in sports analytics and technology.
• Presenting findings and recommendations to senior management.
• Managing the analytics technology stack and ensuring its effectiveness.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
• At least 8 years of experience in sports analytics, with a significant portion in a leadership role.
• Expertise in statistical modeling, machine learning, and predictive analytics.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with sports-specific data sources and analytical techniques.
• Strong understanding of athletic performance principles and various sports.
• Excellent leadership, communication, and presentation skills.
• Proven ability to work effectively in a fully remote and collaborative environment.

• Design, develop, validate, and implement complex quantitative models for risk assessment, including credit scoring, VaR calculations, stress testing, and pricing models.
• Collaborate with cross-functional teams (e.g., Risk Management, Front Office, IT) to understand business needs and translate them into quantitative solutions.
• Analyze large datasets to identify trends, patterns, and anomalies related to financial risk.
• Perform rigorous back-testing and sensitivity analysis to ensure the accuracy and reliability of developed models.
• Contribute to the development and enhancement of risk reporting frameworks and dashboards.
• Stay abreast of regulatory requirements (e.g., Basel III/IV, IFRS 9) and ensure models comply with current standards.
• Mentor and guide junior quantitative analysts, fostering a culture of continuous learning and technical excellence.
• Document model methodologies, assumptions, and limitations clearly and comprehensively.
• Present complex quantitative findings and recommendations to senior management and regulatory bodies.
• Contribute to the firm's thought leadership in quantitative finance and risk management.

• Ph.D. or Master's degree in a quantitative field such as Financial Mathematics, Statistics, Physics, Computer Science, or Economics.
• A minimum of 6 years of hands-on experience in quantitative analysis, risk management, or financial modeling within the banking or financial services industry.
• Expertise in developing and implementing risk models, particularly in areas like credit risk, market risk, or operational risk.
• Advanced proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or Java.
• Strong understanding of statistical modeling, machine learning techniques, and numerical methods.
• Excellent knowledge of financial markets, instruments, and derivatives.
• Familiarity with regulatory frameworks governing financial institutions.
• Exceptional analytical, problem-solving, and research skills.
• Outstanding written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Demonstrated ability to lead projects and mentor junior team members in a remote setting.