Statistical Analysis Jobs

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) ...

Project: Titan-X Prime (Quantitative Options Scalper) Target Environment: Python 3.13 (Free-Threaded/No-GIL) Primary Goal: To capture high-conviction "Gamma Bursts" in Nifty Options while neutralizing the 2026 0.15% STT tax drag through microstructure-based precision. 1. System Architecture (Concurrency Model) The system must utilize a Multi-Threaded Producer-Consumer model to leverage Python 3.13’s true parallelism. • Thread 1 (Ingestion): WebSocket feed for Nifty Spot, Futures, and ATM/Near-OTM Option Chain (±10 strikes). • Thread 2 (Microstructure): Real-time calculation of Weighted Order Book Imbalance (WOBI) every 100ms. • Thread 3 (GEX Engine): Recalculation of Dealer Gamma Exposure (GEX) and Zero-Gamma Level every 60 seconds. • Thread 4 (Ex...

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.

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I need a concise, evidence-based audit that demonstrates my physiotherapy service’s compliance with HCPC Continuing Professional Development (CPD) requirements. At present I do not have usable data, so the first step will be working with me to design a simple data-collection template, gather the necessary information from staff records and recent learning activities, and verify its accuracy. Once the data set is in place, I want you to analyse it against the latest HCPC CPD standards, highlight any gaps, and translate the findings into a clear, reader-friendly report suitable for submission should the regulator request evidence. Please include an actionable improvement plan that prioritises any shortfalls and suggests realistic timelines and monitoring metrics. Deliverables &bu...

I need a full, 100-page research “blackbook” in Microsoft Word on the topic “Public Perception of Mental Health Awareness Campaigns and Their Influence on Youth Attitudes.” The final document must be completely plagiarism-free and robust enough for academic scrutiny. ARRANGEMENT OF CONTENTS: The sequence in which the project report material should be arranged and bound as follows: 1. Cover Page 2. Inner Title Page (Same as cover page) 3. Certificate 4. Plagiarism Certificate 5. Acknowledgement 6. Abstract 7. Table of Contents 8. List of Tables 9. List of Figures 10. Abbreviations ( If any) 11. Chapters (1 to 5) 12. References 13. Appendices( If any) 14. Publication ( If any) The tables and figures shall be introduced in the appropriate places. TYPING INSTRUCTIONS: 1...

I’m looking for someone who feels at home inside NVivo and can guide a full thematic analysis from start to finish. I will supply a set of qualitative documents; your first task will be to import them, explore their content, and help me co-create a clear coding framework because I don’t yet have one in place. The core objective is to identify recurring themes and meaningful patterns. Once our framework is agreed, I’ll need you to code the material consistently, run the appropriate queries, and synthesize the findings into concise narrative output with supporting visuals straight from NVivo (e.g., word trees, cluster maps, coding frequency tables). Deliverables • Draft and refine a coding manual we both sign off on • Fully coded NVivo project file (.nvp...

I’m launching a focused pollution-control study on local waterways and need a researcher who can turn scattered information into a clear, evidence-based picture of what is really happening beneath the surface. The core of the job is data: finding it, validating it, analysing it and turning it into insights decision-makers can act on. You will help me locate and compile raw water-quality figures—field samples, public monitoring stations, satellite or drone readings, academic papers, anything reputable—then clean and merge those datasets in a way that lets us spot patterns of contamination over time. Solid skills in Excel, Python or R for data wrangling, plus basic GIS mapping to visualise hotspots, will be essential. Once the numbers are in shape, I’ll rely on you ...

I am writing to inquire whether you would be available to provide statistical support for a prospective research project I am currently conducting. The study is complete in terms of data collection and laboratory analysis, and I am now seeking guidance on the most appropriate statistical analyses and interpretation. Project title: Reference intervals for FIBTEM measurements using the ROTEM® gamma device in healthy dogs compared to fibrinogen concentration measured by the Clauss assay. Study objectives: 1. To establish reference intervals for FIBTEM parameters obtained using the ROTEM® gamma device in healthy dogs. 2. To assess the clinical acceptability of these reference intervals compared to fibrinogen concentration measured by the Clauss assay. Dataset overview: The dataset i...

I’m putting together an academic paper in the social sciences and need a skilled research writer to help me develop a rigorous, well-structured manuscript over the next four weeks. Your role will centre on locating and synthesising peer-reviewed sources, sharpening the research question, and producing a clear narrative that aligns with current scholarly standards (APA 7th). Here’s how I picture the collaboration: • Literature review – a comprehensive, up-to-date survey of journal articles, books and relevant grey literature, with a critical lens on theory and methodology. • Drafting and refinement – initial outline, full first draft, and two iterative revisions based on feedback. • Referencing – accurate in-text citations and a flawlessly ...

I need help with a Python exercise focused on data analysis. Key tasks include: - Data cleaning/extraction - Visualization/plotting - Statistical analysis Ideal skills and experience: - Proficiency in Python, especially with libraries like Pandas, NumPy, and Matplotlib - Experience with data cleaning and preparation - Strong data visualization skills - Background in statistical analysis

Help provide a analysis on the commercial side

I'm seeking comprehensive support for my master's research. The project involves: - Research and Literature Review: Identify and summarize key sources. - Data Analysis: Analyze collected data using appropriate statistical methods. - Writing and Editing: Help draft, refine, and polish the final document. Ideal Skills and Experience: - Advanced degree in relevant field - Expertise in research methodologies - Proficiency in data analysis tools (e.g., SPSS, R) - Strong writing and editing skills Looking for someone detail-oriented, reliable, and experienced in academic research.

I’m building a long-term automated crypto trading system and need a seasoned crypto trader or quant to craft a clear, rule-based trend-following strategy focused on altcoins and deployable on Binance. long-term automated system clear rule-based trend-following strategy deployable on Binance What I expect: • A concise trading playbook covering entry, exit, position sizing, and risk-management rules that can be coded directly into a bot. • Definitions of market regimes (e.g., volatility filters, moving-average states) so the strategy adapts to changing conditions. • Back-testing results with key metrics—CAGR, max drawdown, Sharpe/Sortino—plus a brief explanation of assumptions, data sources, and slippage settings. • Parameter ranges or ...

I want to dig deep into the NIST SP 800-22 randomness test suite and document the entire journey from set-up to results. Your assignment is to: • study the concepts in “”, • download and compile the official tests from , • create several fresh bit streams of suitable length using your own generator. I intend these to be pseudorandom sequences produced with the “Cryptography doctor” approach I have in mind, so please do not rely on the NIST software itself as a source of bits, only as the evaluator, • run every applicable test in the suite against my sequences, capture all intermediate statistics, and interpret the p-values with respect to the recommended 1 % / 5 % thresholds, • prepare a clear report that explains each step: how you...

I have a bilingual data set of 1,000 sentences that is already translated. What I need now is a clear, defensible linguistic-quality benchmark for those translations. Here’s the core of the job: • Run a linguistic quality evaluation, expressing the results through ROUGE score. • Supply a concise report (tables + brief narrative) that explains what the score means for overall quality and highlights any outliers that deserve human review. • Share the clean, reproducible code you use—Python notebooks or scripts are fine so long as they run end-to-end on my side without extra setup beyond standard packages (e.g., SacreROUGE, NLTK, or Hugging Face tools). I will provide: – The 1,000 source sentences – Their current translations (reference) ...

I need a detail-oriented virtual assistant who can dedicate time exclusively to research tasks. The assignment centres on market-trend exploration, with a very clear spotlight on current shifts in consumer behaviour. What I expect from you • Identify reputable data sources—industry white papers, survey results, academic journals, social media sentiment tools—and pull the latest insights on how buyers are discovering, evaluating, and ultimately choosing products in my sector. • Distil those findings into concise weekly briefs (no more than two pages each) that highlight emerging patterns, notable statistics, and actionable implications. • Keep a rolling spreadsheet or Airtable with all references, dates accessed, and direct links so I can verify each insi...

I have a collection of mixed numerical and text records that need to be consolidated in Excel, cleaned, and structured so they are ready for further work. Once everything is organized, I also want to dive into statistical analysis—descriptive stats, correlations, significance testing, the works—and then translate the findings into clear, insightful charts or dashboards. I’ll share the raw spreadsheets, CSVs, and a few text files. Your job is to: • Merge and tidy the data (consistent formats, no duplicates, tidy column naming). • Run the agreed-upon statistical tests in Excel (or Power Query/PivotTables if that speeds things up). • Build a visualization layer—charts, conditional-format tables, or a compact dashboard—that highlights the key ...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

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 ...

I'm looking for a detailed simulation of 5G soft handover in Matlab for research and analysis purposes. Key Requirements: -Simulate system-level handover with integrated PHY and MAC layer modeling in MATLAB -Consider satellite, aerial (e.g., UAV/HAPS), and terrestrial segments within a SAGIN scenario -Support evaluation of handover performance using KPIs such as handover latency, throughput, packet loss, and connection stability Provide comprehensive analysis and visualization of results (e.g., KPI trends, CDFs, outage/interruption time, HO failure rate) Ideal Skills and Experience: - Proficiency in Matlab - Strong understanding of 5G network architecture and handover mechanisms - Experience in network simulation and performance analysis - Ability to present data clearly and concis...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I need over 10 interviews analyzed using Atlas.ti. Each interview is about 30-60 minutes long. Themes and codes are already identified. Ideal Skills and Experience: - Proficiency in - Experience with qualitative data analysis - Strong analytical skills - Attention to detail

I have been researching our city’s transportation network from an industrial-engineering angle and now need a fresh set of expert eyes to turn the findings into a concrete investment roadmap. The study is centered on the public transit system and we have already gathered real-time operational and usage data. Here is what I need next: • Analyse the real-time datasets to spot inefficiencies, capacity gaps, and cost drivers. • Build clear investment strategies that improve service quality while maximizing financial return and long-term sustainability. • Quantify projected impacts on ridership, operating costs, and wider economic benefits such as tourism growth and better university-campus connectivity. • Present everything in a concise report supported by ...

I have a curated dataset of abdominal X-ray images that needs a robust deep-learning model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your exp...

I need an expert to craft a comprehensive policy brief focusing on financial regulation, specifically securities regulations. Key Requirements: - In-depth analysis of current securities regulations - Recommendations for policy improvements - Evidence-based insights and data Ideal Skills: - Strong background in economics and financial regulation - Experience in policy writing - Proficient in research and data analysis

I’m putting together a structured career-planning programme for students and recent graduates who are still unsure about their next step. What I need from you is a complete roadmap that covers three pillars: • Skill assessment & development – an easy-to-follow process (personality or aptitude tests, competency mapping, and a clear gap analysis) that ends with an actionable learning plan. • Networking strategies – concrete methods for building a professional network from scratch, including sample outreach scripts, LinkedIn optimisation tips, and guidance on finding mentors or industry groups. • Job-market analysis – up-to-date research on growth sectors, entry-level salary ranges, regional hiring trends, and any credible data sets or dashboard...

I am seeking an experienced academic researcher to deliver a complete, journal-ready research paper on Explainable AI (XAI) for predicting and interpreting student academic performance. The study must use multiple academic data sources (exams & quizzes, assignments & projects, and class participation records), which I will provide in CSV format. Scope of work: • Clean, preprocess, and align datasets using student IDs and time frames • Perform relevant feature engineering • Build at least one strong predictive model (with optional comparisons) • Apply explainability techniques such as SHAP, LIME, decision trees, or equivalent, with clear justification • Evaluate predictive performance and interpretability • Produce publication-quality visualizat...

I’m preparing a research paper that demonstrates how explainable AI can predict and interpret student academic grades using a mix of exams and quizzes, assignments and projects, plus class participation records. I already have raw datasets in CSV form; what I need is the complete experimental pipeline and a well-structured manuscript ready for journal submission. Here’s what I’m expecting: • Clean and engineer the three data sources so they align on student IDs and time frames. • Build at least one solid predictive model—feel free to compare alternatives—but tie every result back to a clearly articulated explainability layer (e.g., decision trees, SHAP, LIME or any other method you justify). • Evaluate accuracy and, just as important, hig...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I'm looking for an expert in Excel to create a detailed compensation analysis The model should help in compensation benchmarking analysis . Key requirements: - ability to add multiple surveys into the file and the ability to weight the different surveys different based off position. Built out for at least 3 survey sources - columns for 25th, 50th, and 75th percentiles for base pay, total cash, and long term incentives. Should also include bonus target as a %Ike and bonus actual as a $ value - Detailed compensation insights Ideal skills and experience: - Advanced Excel proficiency - Experience in modeling - Attention to detail - ability to

I run a digital product business selling market research on and need someone to handle daily Twitter engagement to grow my audience. Your daily tasks (1-2 hours): Like 50-100 tweets in entrepreneurship/online business/Whop/digital products niches Leave 15-20 valuable comments on tweets from accounts with 1k-50k followers Schedule 2-3 pre-written tweets per day using [whatever tool you pick - TweetDeck/Buffer/Hypefury] Reply to basic questions and thank-yous with short responses Flag any important DMs or serious buyer questions for me to handle What I need from you: Fluent English (you'll be representing my brand in comments) Understanding of online business/entrepreneurship language Ability to sound natural, not robotic or spammy Reliable - same time every day, no disappearing Pri...

I need a fully-developed Simio model that follows every one of the 2,750 plates from the moment they arrive by truck until the last unit is set down in the yard. There are 109 colours, exactly 25 plates per colour, and each colour must remain together in the same three-slot crane position. If a later plate of an already-started colour shows up, the Rubber-Tired Gantry (RTG) has to travel back to that original position before it can discharge the plate. Operational facts you must replicate • Trucks: 10 per calendar day, 12 plates each, arrivals spread randomly over 24 h. • RTG travel speed: 4 km/h. • Crane positions: three usable slots per stop. • Discharge time: 1.5 min per plate, continuous 24 / 7 operation. Scope of the model – High-detail, entity-...

I need a data-savvy investigator to help me confirm whether social-media content is being deliberately down-ranked or hidden. My sole aim is to identify suppressed algorithms, with a particular emphasis on content-visibility suppression on major social platforms. You will design and execute an evidence-based study: gather relevant data points (public APIs, scraped feeds, or previously archived datasets), apply statistical or machine-learning techniques to spot anomalous reach patterns, and document any rules, thresholds, or signals that appear to mute posts. I am open to your preferred toolkit—Python, R, SQL, or specialty OSINT platforms—as long as the workflow is reproducible. What matters most is a clear, defensible methodology, transparent code, and a concise explanati...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

I have a structured e-commerce dataset sitting in Excel/CSV format that needs a thorough exploratory data analysis. My goal is to turn raw tables into an insightful visual narrative—clear charts, concise commentary, and an executive-style report or interactive dashboard that highlights the key patterns hiding in the numbers. Here is what I need from you: • A clean, well-documented analysis (Python with pandas, seaborn/matplotlib or R tidyverse are fine) that walks through data profiling, outlier handling, and any necessary feature engineering. • Compelling visualizations—think sales trends, category performance, customer behaviour—that can be dropped straight into a slide deck or shared as an interactive report (Tableau, Power BI, or a notebook with embedded...

I'm looking for an expert in multi-fidelity Bayesian optimization to optimize material science processes, potentially focusing on reaction optimization. Key requirements include: - Optimize processes using numerical and categorical data - Experience in material science and Bayesian optimization - Strong analytical skills to interpret complex datasets Ideal skills and experience: - Proven track record in multi-fidelity Bayesian optimization - Background in material science, particularly in reaction optimization - Proficiency in handling both numerical and categorical data

I’m looking for someone who feels at home inside NVivo and can guide a full thematic analysis from start to finish. I will supply a set of qualitative documents; your first task will be to import them, explore their content, and help me co-create a clear coding framework because I don’t yet have one in place. The core objective is to identify recurring themes and meaningful patterns. Once our framework is agreed, I’ll need you to code the material consistently, run the appropriate queries, and synthesize the findings into concise narrative output with supporting visuals straight from NVivo (e.g., word trees, cluster maps, coding frequency tables). Deliverables • Draft and refine a coding manual we both sign off on • Fully coded NVivo project file (.nvp...

I need a data analytics expert to analyze key datasets. Key requirements include: - Analyze sales, customer, and operational data. - Identify trends, make predictions, and improve efficiency. - Deliver insights for reports, business decisions, and strategy development. Ideal skills and experience: - Proficiency in data analytics tools (e.g., Python, R, SQL). - Strong analytical and statistical skills. - Experience in generating actionable insights from complex datasets. - Ability to communicate findings clearly. If you have a proven track record in data analytics and can work within my budget, I would love to hear from you.

I have several initiatives in motion and need an up-and-coming strategist who can translate raw information into clear, actionable recommendations. Day-to-day work will revolve around gathering relevant data, spotting trends, and shaping concise briefs that help me make smarter decisions, whether the subject is a new product line, a potential partnership, or a go-to-market tweak. You’ll receive background material, call recordings, or spreadsheet dumps; your job is to distill them into insight—think structured market snapshots, competitor benchmarks, or scenario outlines—and package everything in a way that’s easy to absorb. Solid analytical thinking, crisp written communication, and a knack for keeping projects on track are essential. Familiarity with Excel or G...

I need help analyzing a collection of text-based data for an ongoing research project. My background is in artificial intelligence and data science, yet I want a fresh perspective on exploratory analysis, pattern discovery, and interpretation so the insights are both rigorous and clearly actionable. The core task is straightforward: ingest the raw text files I provide, clean and structure them appropriately, then run exploratory and statistical analyses that reveal key themes, sentiment trends, and any significant correlations you uncover. Feel free to use Python with pandas, NumPy, NLTK, spaCy, or other standard NLP and data-analysis libraries—whatever you are most comfortable with as long as the workflow is reproducible. Because I don’t have a hard deadline, quality and cla...

I’m working on a macroeconomics assignment that focuses exclusively on fiscal policy. I need a concise, academically sound research and analysis piece that explains how government spending and taxation choices influence overall economic performance. Your job is to gather the latest scholarly and policy-based sources, identify key fiscal measures, and evaluate their short- and long-term macroeconomic effects. Clear arguments, well-interpreted data trends, and correct citation style are all essential. Deliverables • 2,000–2,500-word report in editable format • Minimum 8 reputable references (journals, IMF/World Bank, or comparable) • Supporting charts or tables that illustrate core findings • Brief executive summary (≈250 words) that highligh...

My dataset on post-operative recovery in Orthopaedic Surgery is complete, and I need help writing the research article that can move straight into peer review. The scope is a primary study on patient outcomes, not a review article or case report, so every section—from structured abstract through Discussion—must follow the conventions of an original investigation. Here is what I will provide: the anonymised spreadsheet, basic statistical outputs (SPSS), operative protocols, and institutional ethics approval. What I expect back is a manuscript written in clear scientific English, formatted to the target journal’s author guidelines (Vancouver referencing, figure resolution, word limits, CONSORT flow diagram where applicable) and uploaded through the journal’s online ...

I need assistance with moderated moderation mediation analysis using the PROCESS macro in SPSS. This analysis is critical for testing hypotheses in my research. Key Requirements: - Expertise in SPSS, particularly with the PROCESS macro - Experience in moderated moderation and mediation analysis - Ability to interpret and report results clearly Ideal Skills: - Advanced statistical knowledge - Proficiency in regression analysis (any type) - Strong analytical thinking and problem-solving skills Please provide relevant experience in your bids.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for one versatile professional who is equally comfortable in Excel and Corel Draw. Excel task I have a dataset that needs clear, insightful analysis. You’ll clean the data, explore relationships, build pivot tables, apply basic statistical methods, and surface key findings in a well-structured workbook. Corel Draw task I also need a fresh, text-only logo created directly in Corel Draw. The goal is crisp, legible typography that reflects a modern, professional feel. No icons or color palettes required—just strong type treatment. Please provide the editable .cdr file plus a high-resolution transparent PNG and an SVG export. Deliverables • .xlsx file containing the cleaned data, pivot tables, formulas, and written insights • Corel Draw .cdr o...

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

Title: R Studio/Data Analysis Support for Dissertation (Excel → R Studio → Chapter Writing) Description: I am seeking an experienced data analyst or statistician to assist with a dissertation research project. The main tasks include: Uploading and evaluating existing data from an Excel sheet into R Studio Performing analyses to address specific research questions Assisting with interpretation of results Supporting the writing of Chapters 4 (Results) and 5 (Discussion/Conclusions) based on the findings Requirements: Proficiency in R Studio and statistical analysis Experience with Excel data management and cleaning Strong ability to interpret results in the context of research questions Familiarity with academic writing and dissertation formatting Attention to detail and...

I’m currently working through a quantitative finance / financial engineering program and I’m looking for an experienced finance or quantitative professional to provide ongoing technical support and guidance. This is not a one-off task. I’m looking for someone who understands both financial theory and practical model implementation, and who can support me across multiple modelling problems and conceptual questions as the program progresses. Areas involved include: • Mean–variance portfolio optimisation • Risk-free assets and efficient frontiers • Volatility targeting and portfolio constraints • Excel Solver formulation and convergence issues • Asset pricing, portfolio risk, and returns • Interpretation and validation of quantitat...

I’m looking to commission a custom machine-learning model that automatically writes full-length research papers in the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, a...