Lugha ya Kuprogramu ya R Jobs

I'm seeking an experienced R programmer to assist with data analysis and report writing. The primary focus will be on financial data. Key Requirements: - Proficiency in R for data analysis. - Experience with financial datasets. - Ability to write clear, concise reports based on analysis. - Strong statistical knowledge is a plus. Ideal Skills: - R programming - Data analysis - Financial data expertise - Technical writing Please share your relevant experience in your application.

Autonomous AI agent I want help creating a self-directed AI agent that can tackle biological/medical research research by reviewing the literature and creating mathematical models of disease pathology using the R programming language. • Perform comprehensive literature reviews by ingesting and summarising peer-reviewed papers from major scientific journals and pre-print servers. • Analyse data pulled from public repositories • Reproducing models in the literature and coming up with new hypotheses for mathematical models of disease. I expect an end-to-end workflow: automated retrieval of journal articles and database records, semantic search across that corpus, data cleaning, exploratory and confirmatory analysis in R/mrgsolve, and an LLM-driven (Claude) reasoni...

I have an extensive set of financial records attached to an 86-million-dollar portfolio and need them transformed into clear, defensible investment insights. The core purpose is to evaluate current and prospective opportunities, not merely spot trends or forecast performance. Expect to dig into raw transactional data, balance sheets, and market feeds, then surface the strengths, weaknesses, and hidden potential of each holding. You are free to work in Python (Pandas, NumPy, SciPy), R, SQL, Excel Power Query, or any other toolkit you trust, so long as the outcome is reproducible. I will provide the data in CSV and relational-database dumps; secure transfer protocols are already in place. Deliverables • Cleaned and well-documented dataset (with transformation scripts) • Analy...

Tafadhali Jisajili ama Ingia ili kuona maelezo.

I have a large collection of raw text documents and images that I need turned into clear, actionable insights. The job centres on exploratory data analysis rather than predictive modelling: I want to understand patterns, themes and relationships hidden inside both formats. Here is what I expect at the end of the engagement: • A well-commented Python (or R) notebook that walks through preprocessing, cleaning and exploratory techniques applied to the text and image sets. • Concise visual summaries—charts for the text, heat-maps or feature plots for the images—exported in high-resolution formats I can drop straight into presentations. • A short written report (PDF or Markdown) highlighting key findings, unusual correlations and any recommendations that emerge...

Key requirements include: - Familiarity with LLM integration for code completion -Biology experience (Neuroscience and Immunology a plus) -Not too much coding and LLM experience required but asking for a learner that is good at organizing thoughts and data and taking initiative -Willingness to have live chats at least every couple of weeks in English Ideal skills and experience: - Strong background in R -Experience with mathematical modeling -Experience with biological research - Prior experience using language models for coding tasks

I have a set of finance-related CSV files that need to be explored, cleaned, and summarised. The goal is strictly descriptive analysis—think clear statistics, trends, and visual snapshots—without venturing into predictive modelling or prescriptive optimisation. All raw data will arrive as comma-separated files. You are free to use Python (pandas, NumPy, Matplotlib, Seaborn), R, Excel Power Query, or a comparable toolkit, as long as the workflow is reproducible and well-documented. Deliverables: • A concise cleaning script or notebook that imports each CSV, handles missing or inconsistent entries, and outputs a tidy dataset • A written summary (PDF or Markdown) of key descriptive metrics—averages, distributions, correlations, outliers—tailored to a fina...

QuantConnect / LEAN Python Algo Trading Developer (IBKR) We are looking for an experienced algorithmic trading developer to build and optimize trading strategies for US stocks and ETFs using QuantConnect (LEAN) and Interactive Brokers (IBKR API). This is a hands-on development role focused on implementing and deploying systematic trading strategies. Scope of work Develop algorithmic trading strategies in Python (QuantConnect / LEAN) Backtesting and performance optimization Integrate strategies with Interactive Brokers (IBKR) Implement risk management and position sizing logic Work with historical and live market data Deploy and maintain strategies in live trading environment Analyze performance (PnL, Sharpe, drawdown) Requirements Proven experience in algorithmic trading / quan...

I have an existing secondary dataset and need a clear, defensible quantitative study built around it. The core tasks involve cleaning the data, running the appropriate statistical tests, and presenting the findings in a concise, publication-ready format that includes both tables and visualisations. Because the dataset is already collected, the emphasis is on rigorous analysis rather than data gathering. You will decide on the most suitable techniques—descriptive statistics, correlation, regression, or other inferential methods—justify each choice, and document every step so the work is fully reproducible (SPSS). Deliverables: • A short methodological write-up outlining the analytical approach and assumptions • Annotated code or syntax file that can be rerun end-to...

I need an LLM to assist with code completion in R, specifically for mathematical modeling tasks. Key requirements include: - Familiarity with LLM integration for code completion -Biology experience -Not too much coding and LLM experience required but asking for a learner that is good at organizing thoughts and data and taking initiative Ideal skills and experience: - Strong background in R -experience with mathematical modeling -experience with biological research - Prior experience using language models for coding tasks

I have a complete export of my website analytics and need a data-savvy partner to turn those numbers into a clear story. The sole focus is web traffic: no sales or survey figures are involved. I want to surface user-behavior patterns so I can see exactly how visitors flow through the site and what they do once they land. More specifically, I need insight on: • Page views and navigation paths — where users enter, where they drop, and the common journeys in between • Interactions with elements (clicks, scrolls) — which buttons, links, or sections grab attention and which are ignored Raw data can be delivered in GA4, server logs, or CSV form; you pick the environment you feel most comfortable in (Python, R, SQL, BigQuery, or a BI tool such as Tableau, Power BI, o...

I have several large RNA-seq datasets from TCGA covering multiple cancer types, and I need a focused survival analysis that links gene-level and gene-set activity to overall and progression-free survival. All raw counts, FPKM tables and the matched clinical files are already in place; what I require is the analytical workflow and an interpretable report. Here is the workflow I would like you to follow: • Pre-process and normalise the RNA-seq count data, matching each sample unambiguously to its clinical record. • Build Kaplan-Meier curves and multivariable Cox proportional-hazards models to identify genes whose expression significantly associates with survival outcomes, adjusting for key covariates (age, stage, subtype, etc.). • Run GSEA (Gene Set Enrichment Analysis) ...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

I’m commissioning a full-cycle study that places budget assessment at the centre of our work with non-profit organisations. The assignment weaves together four strands—monitoring economic data, evaluating current economic projects, running a focused budget survey, and shaping an advocacy narrative that can move stakeholders to action. The heart of the job is a rigorous look at how non-profits plan, allocate, and report their resources. You’ll need to: • Track and analyse the economic indicators that matter to our sector, translating raw data into clear insights. • Evaluate selected programmes against their stated economic objectives, highlighting value for money and policy alignment. • Design and implement a concise budget survey that captures both ...